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WO2020116982A1 - Dispositif électronique et procédé de fourniture de service sur la base d'une entrée d'utilisateur - Google Patents

Dispositif électronique et procédé de fourniture de service sur la base d'une entrée d'utilisateur Download PDF

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Publication number
WO2020116982A1
WO2020116982A1 PCT/KR2019/017172 KR2019017172W WO2020116982A1 WO 2020116982 A1 WO2020116982 A1 WO 2020116982A1 KR 2019017172 W KR2019017172 W KR 2019017172W WO 2020116982 A1 WO2020116982 A1 WO 2020116982A1
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WO
WIPO (PCT)
Prior art keywords
data
handwriting
electronic device
processor
received
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/KR2019/017172
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English (en)
Korean (ko)
Inventor
박정완
강연진
곽태원
김용준
김한집
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Samsung Electronics Co Ltd
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Samsung Electronics Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Samsung Electronics Co Ltd filed Critical Samsung Electronics Co Ltd
Publication of WO2020116982A1 publication Critical patent/WO2020116982A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/03—Arrangements for converting the position or the displacement of a member into a coded form
    • G06F3/033—Pointing devices displaced or positioned by the user, e.g. mice, trackballs, pens or joysticks; Accessories therefor
    • G06F3/038—Control and interface arrangements therefor, e.g. drivers or device-embedded control circuitry
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/03—Arrangements for converting the position or the displacement of a member into a coded form
    • G06F3/033—Pointing devices displaced or positioned by the user, e.g. mice, trackballs, pens or joysticks; Accessories therefor
    • G06F3/0354—Pointing devices displaced or positioned by the user, e.g. mice, trackballs, pens or joysticks; Accessories therefor with detection of 2D relative movements between the device, or an operating part thereof, and a plane or surface, e.g. 2D mice, trackballs, pens or pucks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/03—Arrangements for converting the position or the displacement of a member into a coded form
    • G06F3/033—Pointing devices displaced or positioned by the user, e.g. mice, trackballs, pens or joysticks; Accessories therefor
    • G06F3/0354—Pointing devices displaced or positioned by the user, e.g. mice, trackballs, pens or joysticks; Accessories therefor with detection of 2D relative movements between the device, or an operating part thereof, and a plane or surface, e.g. 2D mice, trackballs, pens or pucks
    • G06F3/03545—Pens or stylus
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/03—Arrangements for converting the position or the displacement of a member into a coded form
    • G06F3/041—Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/03—Arrangements for converting the position or the displacement of a member into a coded form
    • G06F3/041—Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means
    • G06F3/0416—Control or interface arrangements specially adapted for digitisers
    • G06F3/04162—Control or interface arrangements specially adapted for digitisers for exchanging data with external devices, e.g. smart pens, via the digitiser sensing hardware
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10—Character recognition
    • G06V30/32—Digital ink
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/2866—Architectures; Arrangements
    • H04L67/30—Profiles
    • H04L67/306—User profiles

Definitions

  • Various embodiments of the present invention relate to an electronic device and a method for providing a service based on user input thereof.
  • the electronic device may transmit/receive data to/from an external electronic device or control functions of at least a portion of the external electronic device through a network (for example, a short-range wireless communication network or a remote wireless communication network).
  • a network for example, a short-range wireless communication network or a remote wireless communication network.
  • the electronic device when the electronic device includes a touch screen, it may be possible for a user to input various information manually by recognizing a user's handwriting input.
  • a user In order to perform various functions by interlocking electronic devices that can be interlocked by networking, a user must directly input information about a user account and information about an external electronic device for performing a function.
  • various embodiments of the present invention recognize a user's handwriting, and provide an electronic device capable of providing various services based on a user account associated with the recognized handwriting, and a method of performing an operation based on its user input Can provide
  • Various embodiments of the present invention recognize a user's handwriting, and provide an electronic device capable of providing various services in cooperation with external electronic devices based on a user account associated with the recognized handwriting, and a method of performing an operation based on its user input. Can provide.
  • Various embodiments of the present invention may select a function to be provided based on handwritten content as well as handwriting recognition of a user or an electronic device to perform the corresponding function.
  • An electronic device includes, for example, a touch screen display configured to receive handwritten data, a communication circuit, a processor operably connected to a display and a communication circuit, and a processor operatively connected to a plurality of It may include a memory for storing handwriting model data.
  • a processor when executed, a processor receives handwritten data input through a display, analyzes the received handwritten data as handwritten data, and compares the analyzed handwritten data with the plurality of handwritten model data to generate a single handwritten model Data may be selected and instructions may be stored to provide a service based on the received handwriting data based on a user account corresponding to the selected handwriting model data.
  • a method of an electronic device includes, for example, an operation of receiving handwriting data through a display, analyzing the received handwriting data as handwriting data, and analyzing the analyzed handwriting data as a plurality of handwriting models It may include an operation of selecting one handwriting model data in comparison with data, and providing a service based on the received handwriting data based on a user account corresponding to the selected handwriting model data.
  • Various embodiments of the present invention can improve user convenience by recognizing the user's handwriting and providing various services based on a user account associated with the recognized handwriting.
  • Various embodiments of the present invention can recognize a user's handwriting and provide various services in conjunction with corresponding electronic devices based on a user account associated with the recognized handwriting, thereby improving user convenience and improving the utilization of the electronic device. Can be.
  • various electronics can be conveniently operated by selecting a function to be provided based on a user's handwriting or selecting an electronic device to perform the corresponding function, and performing the corresponding function in conjunction with the selected electronic device. It is possible to utilize network resources composed of devices.
  • FIG. 1 is a block diagram of an electronic device in a network environment according to various embodiments of the present disclosure.
  • FIG. 2 is a flowchart illustrating handwriting data collection in an electronic device according to various embodiments of the present disclosure.
  • FIG. 3 is a flowchart illustrating handwriting model generation in an electronic device according to various embodiments of the present disclosure.
  • FIG. 4 is a flowchart of handwriting recognition in an electronic device according to various embodiments of the present disclosure.
  • FIG. 5 is a flowchart of providing a service according to handwriting recognition in an electronic device according to various embodiments of the present disclosure.
  • FIG. 6 is a flowchart of executing an app according to handwriting recognition in an electronic device according to various embodiments.
  • FIG. 7 is a flowchart of executing an app in conjunction with a user terminal according to handwriting recognition in an electronic device according to various embodiments.
  • FIG. 8 is a flowchart illustrating various functions according to handwriting recognition in an electronic device according to various embodiments of the present disclosure.
  • FIG. 9 is a diagram illustrating an example of performing an email app according to handwriting recognition in an electronic device according to various embodiments.
  • FIG. 10 is a diagram illustrating an example of performing a call function according to handwriting recognition in an electronic device according to various embodiments of the present disclosure.
  • FIG. 11 is a diagram illustrating an example of executing a music app according to handwriting recognition in an electronic device according to various embodiments.
  • FIG. 12 is a diagram illustrating an example of executing a multimedia app according to handwriting recognition in an electronic device according to various embodiments of the present disclosure.
  • FIG. 13 is a diagram for explaining an example of executing a certain app according to handwriting recognition in an electronic device according to various embodiments.
  • FIG. 14 is a diagram for explaining an example of executing a plurality of apps through multi-account linking according to handwriting recognition of multiple users in an electronic device according to various embodiments.
  • the electronic device 101 communicates with the electronic device 102 through the first network 198 (eg, a short-range wireless communication network), or the second network 199. It may communicate with the electronic device 104 or the server 108 through (eg, a remote wireless communication network). According to an embodiment, the electronic device 101 may communicate with the electronic device 104 through the server 108.
  • the first network 198 eg, a short-range wireless communication network
  • the server 108 e.g, a remote wireless communication network
  • the electronic device 101 may communicate with the electronic device 104 through the server 108.
  • the electronic device 101 includes a processor 120, a memory 130, an input device 150, an audio output device 155, a display device 160, an audio module 170, a sensor module ( 176), interface 177, haptic module 179, camera module 180, power management module 188, battery 189, communication module 190, subscriber identification module 196, or antenna module 197 ).
  • the components for example, the display device 160 or the camera module 180
  • the sensor module 176 eg, fingerprint sensor, iris sensor, or illuminance sensor
  • the display device 160 eg, display.
  • the processor 120 executes software (eg, the program 140) to execute at least one other component (eg, hardware or software component) of the electronic device 101 connected to the processor 120. It can be controlled and can perform various data processing or operations. According to one embodiment, as at least a part of data processing or computation, the processor 120 may receive instructions or data received from other components (eg, the sensor module 176 or the communication module 190) in the volatile memory 132. Loaded into, process instructions or data stored in volatile memory 132, and store result data in non-volatile memory 134.
  • software eg, the program 140
  • the processor 120 may receive instructions or data received from other components (eg, the sensor module 176 or the communication module 190) in the volatile memory 132. Loaded into, process instructions or data stored in volatile memory 132, and store result data in non-volatile memory 134.
  • the processor 120 includes a main processor 121 (eg, a central processing unit or an application processor), and an auxiliary processor 123 (eg, a graphics processing unit, an image signal processor) that can be operated independently or together. , Sensor hub processor, or communication processor). Additionally or alternatively, the coprocessor 123 may be set to use lower power than the main processor 121, or to be specialized for a designated function. The coprocessor 123 may be implemented separately from the main processor 121 or as part of it.
  • a main processor 121 eg, a central processing unit or an application processor
  • an auxiliary processor 123 eg, a graphics processing unit, an image signal processor
  • the coprocessor 123 may be set to use lower power than the main processor 121, or to be specialized for a designated function.
  • the coprocessor 123 may be implemented separately from the main processor 121 or as part of it.
  • the coprocessor 123 may replace, for example, the main processor 121 while the main processor 121 is in an inactive (eg, sleep) state, or the main processor 121 may be active (eg, execute an application) ) With the main processor 121 while in the state, at least one of the components of the electronic device 101 (for example, the display device 160, the sensor module 176, or the communication module 190) It can control at least some of the functions or states associated with.
  • the coprocessor 123 eg, image signal processor or communication processor
  • may be implemented as part of other functionally relevant components eg, camera module 180 or communication module 190). have.
  • the memory 130 may store various data used by at least one component of the electronic device 101 (eg, the processor 120 or the sensor module 176).
  • the data may include, for example, software (eg, the program 140) and input data or output data for commands related thereto.
  • the memory 130 may include a volatile memory 132 or a non-volatile memory 134.
  • the program 140 may be stored as software in the memory 130, and may include, for example, an operating system 142, middleware 144, or an application 146.
  • the input device 150 may receive commands or data to be used for components (eg, the processor 120) of the electronic device 101 from outside (eg, a user) of the electronic device 101.
  • the input device 150 may include, for example, a microphone, mouse, keyboard, or digital pen (eg, a stylus pen).
  • the audio output device 155 may output an audio signal to the outside of the electronic device 101.
  • the audio output device 155 may include, for example, a speaker or a receiver.
  • the speaker can be used for general purposes such as multimedia playback or recording playback, and the receiver can be used to receive an incoming call.
  • the receiver may be implemented separately from, or as part of, the speaker.
  • the display device 160 may visually provide information to the outside of the electronic device 101 (eg, a user).
  • the display device 160 may include, for example, a display, a hologram device, or a projector and a control circuit for controlling the device.
  • the display device 160 may include a touch circuitry configured to sense a touch, or a sensor circuit configured to measure the strength of the force generated by the touch (eg, a pressure sensor). have.
  • the audio module 170 may convert sound into an electrical signal, or vice versa. According to one embodiment, the audio module 170 acquires sound through the input device 150, or an external electronic device (eg, directly or wirelessly connected to the sound output device 155 or the electronic device 101) Sound may be output through the electronic device 102 (eg, a speaker or headphones).
  • an external electronic device eg, directly or wirelessly connected to the sound output device 155 or the electronic device 101
  • Sound may be output through the electronic device 102 (eg, a speaker or headphones).
  • the sensor module 176 detects an operating state (eg, power or temperature) of the electronic device 101 or an external environmental state (eg, a user state), and generates an electrical signal or data value corresponding to the detected state can do.
  • the sensor module 176 includes, for example, a gesture sensor, a gyro sensor, a barometric pressure sensor, a magnetic sensor, an acceleration sensor, a grip sensor, a proximity sensor, a color sensor, an infrared (IR) sensor, a biological sensor, It may include a temperature sensor, a humidity sensor, or an illuminance sensor.
  • the interface 177 may support one or more designated protocols that can be used for the electronic device 101 to directly or wirelessly connect with an external electronic device (eg, the electronic device 102).
  • the interface 177 may include, for example, a high definition multimedia interface (HDMI), a universal serial bus (USB) interface, an SD card interface, or an audio interface.
  • HDMI high definition multimedia interface
  • USB universal serial bus
  • SD card interface Secure Digital Card interface
  • audio interface audio interface
  • the connection terminal 178 may include a connector through which the electronic device 101 can be physically connected to an external electronic device (eg, the electronic device 102 ).
  • the connection terminal 178 may include, for example, an HDMI connector, a USB connector, an SD card connector, or an audio connector (eg, a headphone connector).
  • the haptic module 179 may convert electrical signals into mechanical stimuli (eg, vibration or movement) or electrical stimuli that the user can perceive through tactile or motor sensations.
  • the haptic module 179 may include, for example, a motor, a piezoelectric element, or an electrical stimulation device.
  • the camera module 180 may capture still images and videos. According to one embodiment, the camera module 180 may include one or more lenses, image sensors, image signal processors, or flashes.
  • the power management module 188 may manage power supplied to the electronic device 101.
  • the power management module 188 may be implemented, for example, as at least part of a power management integrated circuit (PMIC).
  • PMIC power management integrated circuit
  • the battery 189 may supply power to at least one component of the electronic device 101.
  • the battery 189 may include, for example, a non-rechargeable primary cell, a rechargeable secondary cell, or a fuel cell.
  • the communication module 190 is a direct (eg, wired) communication channel or a wireless communication channel between the electronic device 101 and an external electronic device (eg, the electronic device 102, the electronic device 104, or the server 108). It can support establishing and performing communication through the established communication channel.
  • the communication module 190 operates independently of the processor 120 (eg, an application processor) and may include one or more communication processors supporting direct (eg, wired) communication or wireless communication.
  • the communication module 190 is a wireless communication module 192 (eg, a cellular communication module, a short-range wireless communication module, or a global navigation satellite system (GNSS) communication module) or a wired communication module 194 (eg : Local area network (LAN) communication module, or power line communication module.
  • a wireless communication module 192 eg, a cellular communication module, a short-range wireless communication module, or a global navigation satellite system (GNSS) communication module
  • GNSS global navigation satellite system
  • LAN Local area network
  • Corresponding communication module among these communication modules includes a first network 198 (for example, a short-range communication network such as Bluetooth, WiFi direct, or infrared data association (IrDA)) or a second network 199 (for example, a cellular network, the Internet, or It may communicate with the external electronic device 104 through a computer network (eg, a telecommunication network such as LAN or WAN).
  • a computer network eg, a telecommunication network such
  • the wireless communication module 192 uses a subscriber information (eg, International Mobile Subscriber Identifier (IMSI)) stored in the subscriber identification module 196 within a communication network such as the first network 198 or the second network 199.
  • IMSI International Mobile Subscriber Identifier
  • the antenna module 197 may transmit a signal or power to the outside (eg, an external electronic device) or receive it from the outside.
  • the antenna module 197 may include a single antenna including a conductor formed on a substrate (eg, a PCB) or a radiator made of a conductive pattern.
  • the antenna module 197 may include a plurality of antennas. In this case, at least one antenna suitable for a communication method used in a communication network, such as the first network 198 or the second network 199, is transmitted from the plurality of antennas by, for example, the communication module 190. Can be selected.
  • the signal or power may be transmitted or received between the communication module 190 and an external electronic device through the at least one selected antenna.
  • other components eg, RFIC
  • other than the radiator may be additionally formed as part of the antenna module 197.
  • peripheral devices for example, a bus, a general purpose input and output (GPIO), a serial peripheral interface (SPI), or a mobile industry processor interface (MIPI)
  • GPIO general purpose input and output
  • SPI serial peripheral interface
  • MIPI mobile industry processor interface
  • the command or data may be transmitted or received between the electronic device 101 and the external electronic device 104 through the server 108 connected to the second network 199.
  • Each of the external electronic devices 102 and 104 may be the same or a different type of device from the electronic device 101.
  • all or some of the operations performed on the electronic device 101 may be performed on one or more external electronic devices of the external electronic devices 102, 104, or 108.
  • the electronic device 101 can execute the function or service itself.
  • one or more external electronic devices may be requested to perform at least a portion of the function or the service.
  • the one or more external electronic devices receiving the request may execute at least a part of the requested function or service, or an additional function or service related to the request, and deliver the result of the execution to the electronic device 101.
  • the electronic device 101 may process the result, as it is or additionally, and provide it as at least part of a response to the request.
  • cloud computing, distributed computing, or client-server computing technology can be used, for example.
  • An electronic device may be various types of devices.
  • the electronic device may include, for example, a portable communication device (eg, a smart phone), a computer device, a portable multimedia device, a portable medical device, a camera, a wearable device, or a home appliance device.
  • a portable communication device e.g, a smart phone
  • a computer device e.g., a smart phone
  • a portable multimedia device e.g., a portable medical device
  • a camera e.g., a camera
  • a wearable device e.g., a smart bracelet
  • the electronic device may be, for example, a fixed electronic device provided as a refrigerator or a television.
  • the electronic device 101 includes, for example, various external electronic devices such as a mobile terminal, a smart phone, a tablet PC (tablet PC), or a wearable device of a plurality of users in a limited place such as a home (for example, FIG. 1 ).
  • E-mail in communication with the electronic device 102 or 104 of the first network (e.g., the first network 198 of FIG. 1) or a second network (e.g., the second network 199 of FIG. 1), It can function as a hub that provides various services such as schedule management, multimedia services, or the Internet.
  • the plurality of users may register their accounts with the electronic device 101 using, for example, a unique identifier, and one or more external electronic devices 102 or 104 for the registered accounts, Various services provided by the electronic device 101 may be provided from the electronic device 101 using the registered account or in conjunction with the registered external electronic device 102 or 104.
  • the electronic device 101 may collect handwriting data for at least one user.
  • the electronic device 101 may collect handwriting data through a method of accumulating user's handwriting input through a display (eg, the display device 160 of FIG. 1) or by extracting from an image.
  • the electronic device 101 may be one or more external electronic devices 102 or 104 or a server (eg, the server 108 of FIG. 1) through a communication module (eg, the communication module 190 of FIG. 1). ) Can receive the user's handwriting data.
  • any (eg, first) component is referred to as “coupled” or “connected” to another (eg, second) component, with or without the term “functionally” or “communically”
  • any of the above components can be connected directly to the other components (eg, by wire), wirelessly, or through a third component.
  • module may include units implemented in hardware, software, or firmware, and may be used interchangeably with terms such as, for example, logic, logic blocks, components, or circuits.
  • the module may be an integrally configured component or a minimum unit of the component or a part thereof performing one or more functions.
  • the module may be implemented in the form of an application-specific integrated circuit (ASIC).
  • ASIC application-specific integrated circuit
  • Various embodiments of the present disclosure may include one or more instructions stored in a storage medium (eg, internal memory 136 or external memory 138) readable by a machine (eg, electronic device 101). It may be implemented as software (e.g., program 140) that includes.
  • a processor eg, processor 120
  • the one or more instructions may include code generated by a compiler or code executable by an interpreter.
  • the storage medium readable by the device may be provided in the form of a non-transitory storage medium.
  • a signal eg, electromagnetic waves
  • a method may be provided as being included in a computer program product.
  • Computer program products can be traded between sellers and buyers as products.
  • the computer program product is distributed in the form of a storage medium readable by a device (eg compact disc read only memory (CD-ROM)), or through an application store (eg Play Store TM ) or two user devices ( For example, it can be distributed directly (e.g., downloaded or uploaded) between smartphones).
  • a device eg compact disc read only memory (CD-ROM)
  • an application store eg Play Store TM
  • two user devices For example, it can be distributed directly (e.g., downloaded or uploaded) between smartphones).
  • at least a portion of the computer program product may be temporarily stored at least temporarily in a storage medium readable by a device such as a memory of a manufacturer's server, an application store's server, or a relay server, or may be temporarily generated.
  • each component (eg, module or program) of the above-described components may include a singular or a plurality of entities.
  • one or more components or operations of the above-described corresponding components may be omitted, or one or more other components or operations may be added.
  • a plurality of components eg, modules or programs
  • the integrated component may perform one or more functions of each component of the plurality of components the same or similar to that performed by the corresponding component among the plurality of components prior to the integration. .
  • operations performed by a module, program, or other component may be executed sequentially, in parallel, repeatedly, or heuristically, or one or more of the operations may be executed in a different order, or omitted Or, one or more other actions can be added.
  • An electronic device eg, the electronic device 101 of FIG. 1 according to various embodiments includes a touch screen display (eg, the display device 160 of FIG. 1) configured to receive handwritten data, a communication circuit (eg, FIG. 1) Communication module 190), the display 160, and a processor operatively connected to the communication circuit 190 (eg, the processor 120 of FIG. 1 and the processor 120 is operatively connected, a plurality of It may include a memory for storing the handwriting model data (eg, the memory 130 of Fig.
  • the instructions may include at least one external electronic device (eg, the electronic devices 102 and/or 104 of FIG. 1) registered in the user account by the processor 120 using the communication circuit 190. It is possible to provide the above services in conjunction.
  • the instructions, the processor 120, using the communication circuit 190, at least one external electronic device (102 and / or 104) or the at least one external electronic device (102, 104 and / or 108) ) May receive at least a portion of the plurality of handwriting model data from a registered server (for example, the server 108 of FIG. 1 ).
  • the instructions, the processor 120, the communication circuit 190, the at least one external electronic device 102 and / or 104, the multimedia data according to the app execution corresponding to the received handwriting data It can be received and output.
  • the instructions may cause the processor 120 to extract feature data from a stroke of the received handwriting data and identify a corresponding character.
  • the instructions may cause the processor 120 to analyze a context of the character of the received handwriting data and select a related app or function.
  • the instructions may cause the processor 120 to display a subject performing the app or function as the user account and execute the app or function.
  • the instructions may cause the processor 120 to determine that a user account corresponding to the analyzed handwriting data is not registered when it is impossible to select the one handwriting model data among the plurality of handwriting model data. .
  • the instructions may cause the processor 120 to query whether the user account corresponding to the analyzed handwriting data is registered through the display.
  • An electronic device (eg, the electronic device 101 of FIG. 1) according to various embodiments includes a touch screen display (eg, the display device 160 of FIG. 1) configured to receive handwritten data, and a communication circuit (eg, FIG. 1 communication module 190), the display 160 and a processor operatively connected to the communication circuit 190 (eg, the processor 120 of FIG. 1) and the processor 120 operatively connected to the memory (Eg, the memory 130 of FIG. 1).
  • the memory 130 when executed, the processor 120 receives the handwritten data input through the display 160, analyzes the received handwritten data as handwritten data, and an external electronic device (for example, In association with the electronic device 102 or 104 of FIG.
  • one handwriting model data corresponding to the analyzed handwriting data is selected from a plurality of handwriting model data, and the user's account corresponding to the selected handwriting model data is selected.
  • Instructions for providing a service based on the received handwriting data may be stored.
  • FIG. 2 is a flowchart illustrating handwriting data collection in an electronic device according to various embodiments of the present disclosure.
  • a processor of the electronic device eg, the electronic device 101 of FIG. 1 (eg, the processor 120 of FIG. 1) receives handwritten data from the user through the display 160 can do.
  • the processor 120 may recognize the handwritten data received in operation 203. For recognition of handwriting data, the processor 120 separates a line from the received handwriting data, corrects a slant, normalizes the size, and detects a baseline to separate words. And interpolating strokes, and performing pre-processing processes such as smoothing and re-sampling.
  • the processor 120 may extract and classify feature data obtained by dividing the trajectory or stroke of each pre-processed handwritten data into strokes based on one or more points, and based on the classified handwritten data in advance
  • the handwriting data can be recognized through a post-processing process that compares with a language model and corrects spacing and sign and spelling.
  • the processor 120 may extract, as handwritten data, a skeleton or stroke separated by a stroke based on the trajectory and one or more points of the recognized handwriting data. .
  • the processor 120 may store the handwritten data extracted in operation 207 for each character (eg, the memory 130 of FIG. 1 ).
  • FIG. 3 is a flowchart illustrating handwriting model generation in an electronic device according to various embodiments of the present disclosure.
  • the processor eg, the processor 120 of FIG. 1 of the electronic device (eg, the electronic device 101 of FIG. 1) may load handwritten data extracted and stored for each character in operation 301.
  • the processor 120 may load handwritten data extracted and stored for each character through the operations of FIG. 2.
  • the processor 120 may extract handwriting feature data in operation 303.
  • the processor 120 may generate an angle value, a pressure data value, and a bitmap of the handwriting data of each stroke based on each point constituting the character stroke of the handwriting data based on the loaded handwriting data for each character.
  • the value normalized to a specific size can be quantified and extracted as feature data.
  • the processor 120 may learn handwriting feature data in operation 305.
  • the processor 120 learns handwritten feature data through various machine learning algorithms (eg, clustering, neural networks, hidden markov model (HMM), support vector machine (SVM), DeepLearning) for each character based on the extracted feature data. can do.
  • machine learning algorithms eg, clustering, neural networks, hidden markov model (HMM), support vector machine (SVM), DeepLearning
  • the processor 120 may generate handwritten model data for each character in operation 307.
  • the handwriting model data for example, based on each point constituting the character stroke of each character, the angle value of each stroke, the pressure data value, and the bitmap of the handwriting data are normalized to a specific size. It can be an average value for the digitized feature data.
  • the processor 120 repeats the process of generating handwritten model data for each character to accumulate handwritten model data for each character to generate handwritten model data for each user or account and stores the handwritten model data for each user. Can be.
  • FIG. 4 is a flowchart of handwriting recognition in an electronic device according to various embodiments of the present disclosure.
  • a processor of the electronic device eg, the electronic device 101 of FIG. 1 (eg, the processor 120 of FIG. 1) is touch screen (eg, the display device 160 of FIG. 1) in operation 401. Through the handwriting data according to the user's handwriting can be received.
  • the processor 120 may perform handwriting recognition on the received handwriting data in operation 403.
  • the processor 120 may perform a pre-processing and classification on the received handwriting data, and then perform a handwriting data recognition process that extracts feature data from the stroke through post-processing and identifies the corresponding character.
  • the recognized handwriting data may include feature data extracted from the stroke and identified characters corresponding thereto.
  • the processor 120 may load the handwriting model data from the database for each individual character stored in the memory (eg, the memory 130 of FIG. 1) in operation 405.
  • the processor 120 compares each individual handwriting model data for the identified character corresponding to the handwriting data recognized in operation 407 with a stroke of the recognized handwriting data to see if the recognized handwriting data matches the handwriting model. Can be checked. For example, the processor 120 normalizes the angle value of each stroke, the pressure data value, and the bitmap of the handwriting data to a specific size based on each point constituting the stroke of the recognized handwriting data. Feature data obtained by digitizing a value can be compared with feature data of handwriting model data for a corresponding character of each user to determine the closest user whose difference value is below a certain threshold.
  • the processor 120 determines, in operation 409, a model name that matches the stroke of the recognized handwriting data among the handwriting model data (eg, for each individual account identifier or for each individual handwriting model data). Assigned identifier).
  • the processor 120 when there is no user whose difference value between the feature data of the handwriting data recognized in operation 407 and the feature data of each user's handwriting model data for the corresponding character is less than or equal to a specific reference value, the processor 120 operates For example, the user may notify the user by outputting through the touch screen 160 and/or the speaker (for example, the sound output device 155 of FIG. 1) that there is no matching user for the handwriting data recognized in 411.
  • FIG. 5 is a flowchart of providing a service according to handwriting recognition in an electronic device according to various embodiments of the present disclosure.
  • the processor of the electronic device eg, the electronic device 101 of FIG. 1 (eg, the processor 120 of FIG. 1) is written by the user through a touch screen (eg, the display device 160 of FIG. 1) in operation 501. Handwriting data according to the can be received.
  • the processor 120 recognizes the received handwriting data in operation 503 and stores each character of the recognized handwriting data with individual handwriting model data stored in the memory (eg, the memory 130 of FIG. 1 ). It can be compared to determine whether the match.
  • the processor 120 may perform a pre-processing and classification on the received handwriting data, and then perform a handwriting data recognition process of extracting strokes and corresponding characters through post-processing.
  • the handwriting data recognition process may include analyzing the received handwriting data as handwritten data.
  • the recognized handwriting data may include handwriting data including the stroke and the identified character corresponding thereto.
  • the processor 120 loads the handwriting model data from the database for each individual character stored in the memory 130, and the individual handwriting model data for the identified character corresponding to the recognized handwriting data, of the recognized handwriting data It can be checked whether the recognized handwriting data matches the handwriting model by contrasting with the stroke.
  • the processor 120 normalizes the angle value of each stroke, the pressure data value, and the bitmap of the handwriting data to a specific size based on each point constituting the stroke of the recognized handwriting data. By comparing the characteristic data quantified with the characteristic data of the handwriting model data for the corresponding character of each user, it is possible to determine the closest user whose difference value is below a certain threshold.
  • the processor 120 may determine whether there is handwriting model data matching the recognized handwriting data according to the comparison result in operation 505.
  • the processor 120 determines that the recognized handwriting data is not the handwriting corresponding to the registered user. Can be. For example, if the handwriting model data corresponding to the recognized handwriting data cannot be selected from the handwriting model data stored in the memory 130, it may be determined that the user account corresponding to the recognized handwriting data is not registered. According to an embodiment, when there is no registered user account, the processor 120 may determine whether to register the user account of the recognized handwritten data in the system in operation 507.
  • the processor 120 registers the user in operation 507 by displaying a notification notifying that the user is not a registered user on the display (for example, the display device 160 of FIG. 1) or inquiring whether to register the user. You can check whether you want to.
  • the processor 120 may create an account for the user in operation 509 and add it to the electronic device 101.
  • the processor 120 may generate an identifier with an account for a user who wishes to register, or assign one identifier (called a first identifier) from a list of existing identifiers.
  • the second identifier for the user device may be associated with the added user account, the first identifier.
  • the processor 120 may check whether the handwriting model data for the corresponding user exists in operation 511, for example, through the user electronic device 102 or 104 or the server 108. If there is handwriting model data for the user, the processor 120 may receive the handwriting model data through the user electronic device 102 or 104 or the server 108 in operation 515. If there is no handwriting model data for the user, the processor 120 may generate handwriting model data in operation 513. For example, when there is no handwriting model data for the user, the processor 120 may provide information (eg, handwriting input guide) for generating handwriting model data through a display.
  • information eg, handwriting input guide
  • the processor 120 may analyze the context of the handwritten data recognized in operation 517 to check the content of the service intended by the user. To this end, the processor 120 may find the closest meaning through the learning through machine learning based on a dictionary-based language model or a contextual semantic model for the recognized handwriting data.
  • the processor 120 may provide a corresponding service based on the context analyzed in operation 519.
  • the processor 120 may select an app or function corresponding to the analyzed context. For example, if the context of the recognized handwriting data is the app name, the service can be provided in conjunction with the app. If it is analyzed to correspond to the phone number, the call function can be supported, and the context related to the schedule is analyzed. If possible, the service may be provided in conjunction with a schedule-related app.
  • the processor 120 may automatically log in to a user account based on the recognized handwriting data, provide a necessary service, and automatically log off after the service ends.
  • the processor 120 may select one of the plurality of external electronic devices 102 and/or 104 registered in the user account based on the analyzed context to provide a service. For example, when the context is analyzed to correspond to a phone number, an external electronic device 102 or 104 that provides a call function may be selected to provide a call service.
  • the processor 120 of the electronic device 101 may perform at least some of the operations described above and below in conjunction with the external electronic device 102 and/or 104 and/or the server 108.
  • FIG. 6 is a flowchart of executing an app according to handwriting recognition in an electronic device according to various embodiments.
  • the processor of the electronic device eg, the electronic device 101 of FIG. 1 (eg, the processor 120 of FIG. 1) is written by the user through a touch screen (eg, the display device 160 of FIG. 1) in operation 601. Handwriting data according to the can be received.
  • the processor 120 recognizes the received handwriting data in operation 603 and stores each character of the recognized handwriting data in the personal handwriting model data stored in the memory (eg, the memory 130 of FIG. 1 ). You can check the user account of the user by comparing each character and checking the handwriting model name of the matching handwriting model data.
  • the processor 120 performs pre-processing and classification on the received handwriting data, and then performs a handwriting data recognition process of extracting strokes and characters corresponding thereto through post-processing. can do.
  • the recognized handwriting data may include a stroke and identified characters corresponding thereto.
  • the processor 120 determines the stroke value of each stroke based on each point constituting the stroke of the recognized handwriting data to confirm the handwriting model name. And comparing the feature data obtained by quantifying the normalized bitmap of the handwritten data to a specific size, and comparing the feature data of the handwritten model data for the corresponding character of each user, so that the difference value is less than or equal to a specific threshold. The user can be determined based on the closest handwriting model data.
  • the processor 120 may analyze the context of the recognized handwriting data to check the content of the service intended by the user. To this end, the processor 120 may find the meaning closest to the context of the recognized handwriting data through the machine learning data based on the dictionary-based language model or the contextual semantic model for the recognized handwriting data.
  • the processor 120 may execute an app inferred by the context analyzed by the user account corresponding to the identified handwriting model name in operation 607. For example, if the context of the recognized handwriting data includes a specific app name, or a word or number frequently used to perform a specific app, or a list or special character thereof, to work with the app to provide a service You can run the app.
  • the processor 120 does not interoperate with a user personal electronic device associated with the user account (for example, the electronic device 102 or 104 of FIG. 1) and uses only the user account to send an email, messaging service, or phone app to the electronic device. It may also be executed at 101 to provide services requiring a user account. For example, in an email app or a messaging service, the processor 120 may automatically provide a new mail editor or create a new call using a user account or an email address or phone number associated with it as a sender.
  • FIG. 7 is a flowchart of executing an app in conjunction with a user terminal according to handwriting recognition in an electronic device according to various embodiments.
  • the processor of the electronic device eg, the electronic device 101 of FIG. 1 (eg, the processor 120 of FIG. 1) is written by the user through a touch screen (eg, the display device 160 of FIG. 1) in operation 701. Handwriting data according to the can be received.
  • the processor 120 recognizes the received handwriting data in operation 703 and stores each character of the recognized handwriting data in memory (for example, the memory 130 of FIG. 1 ). You can check the user account of the user by comparing each character and checking the handwriting model name of the matching handwriting model data.
  • the processor 120 performs pre-processing and classification on the received handwriting data, and then performs a handwriting data recognition process of extracting strokes and characters corresponding thereto through post-processing. can do.
  • the recognized handwriting data may include a stroke and identified characters corresponding thereto.
  • the processor 120 determines the stroke value of each stroke based on each point constituting the stroke of the recognized handwriting data to confirm the handwriting model name. And comparing the feature data obtained by quantifying the normalized bitmap of the handwritten data to a specific size, and comparing the feature data of the handwritten model data for the corresponding character of each user, so that the difference value is less than or equal to a specific threshold. The user can be determined based on the closest handwriting model data.
  • the processor 120 may analyze the context of the recognized handwriting data to check the content of the service intended by the user. To this end, the processor 120 may find the meaning closest to the context of the recognized handwriting data through the machine learning data based on the dictionary-based language model or the contextual semantic model for the recognized handwriting data.
  • the meaning of the context of the recognized handwritten data is not only a dictionary meaning, but for example, context analysis of the recognized handwritten data is frequently used while performing a specific app from meaning words, numbers, combinations thereof, or special characters derived from the context. It may include inferring a word from that particular app.
  • the processor 120 selects at least one of a user terminal or a device (eg, the electronic device 102 or 104 of FIG. 1) associated with a user account according to the identified handwriting model name in operation 707. I can connect. For example, when there are multiple user terminals 102 or 104 associated with a user account, the processor 120 may select the corresponding terminal if there is a device selected as the main device. For another example, when there are multiple user terminals 102 or 104 associated with a user account, the processor 120 may select a device capable of executing an inferred specific app or storing data related to a specific app.
  • a device eg, the electronic device 102 or 104 of FIG. 1
  • the processor 120 may execute a specific app inferred in connection with the selected user terminal 102 or 104 in operation 709 or execute the specific app itself by receiving the app data.
  • the processor 120 may be paired with the selected user terminal 102 or 104 and receive and display a music app's song list or a photo app's image list, play the selected song, or display the selected image.
  • FIG. 8 is a flowchart illustrating various functions according to handwriting recognition in an electronic device according to various embodiments of the present disclosure.
  • the processor of the electronic device may execute a specific app in operation 801.
  • the specific app may be a memo app or a whiteboard app for receiving handwritten data according to user handwriting, but is not limited thereto.
  • the processor 120 may receive handwritten data according to a user's handwriting through a touch screen (eg, the display device 160 of FIG. 1).
  • the processor 120 may recognize the handwritten data received in operation 805 and identify the handwritten model name based on the handwritten model data. For example, the processor 120 compares each character of the recognized handwriting data with each character of the individual handwriting model data stored in the memory (eg, the memory 130 of FIG. 1), and the matching handwriting model data You can check the handwriting model name to check the user account of the user.
  • the processor 120 compares each character of the recognized handwriting data with each character of the individual handwriting model data stored in the memory (eg, the memory 130 of FIG. 1), and the matching handwriting model data You can check the handwriting model name to check the user account of the user.
  • the processor 120 performs pre-processing and classification on the received handwriting data, and then performs a handwriting data recognition process of extracting strokes and characters corresponding thereto through post-processing. can do.
  • the recognized handwriting data may include a stroke and identified characters corresponding thereto.
  • the processor 120 is based on each point constituting the stroke of the recognized handwriting data, the angle of each stroke, the pressure data value and the bit of the handwriting data.
  • the closest handwriting model data that compares the feature data obtained by quantifying the normalized value of the map to a specific size with the feature data of the handwriting model data for the corresponding character of each user, and the difference value is below a certain threshold. Based on the user can be determined.
  • the processor 120 may analyze the context of the recognized handwriting data to check the content of the service intended by the user.
  • the processor 120 may execute a function inferred by the context analyzed by the user account corresponding to the identified handwriting model name in operation 809.
  • the processor 120 may find the meaning closest to the context of the recognized handwriting data through the machine learning data based on the dictionary-based language model or the contextual semantic model for the recognized handwriting data.
  • the processor 120 may analyze the context of recognized handwriting data in relation to a specific app currently being executed.
  • the processor 120 allows the recognized handwriting data to be transmitted to a specific recipient by using a user of a user account corresponding to the handwriting model name as a sender, or an electronic device when a specific recipient is not selected.
  • the function of displaying on the display of (101) eg, the display device 160 of FIG. 1 may be performed.
  • the processor 120 analyzes it as the user's schedule of the user account corresponding to the handwritten model name corresponding to the recognized handwriting data, records the schedule in the calendar app, and displays the calendar on the display 160 You can perform the display function.
  • the processor 120 may transmit the recognized handwriting data to the user device 102 or 104 associated with the user account.
  • FIG. 9 is a diagram illustrating an example of performing an email app according to handwriting recognition in an electronic device according to various embodiments.
  • a processor eg, FIG.
  • the processor 120 of 1 may recognize the input handwriting data and execute a mail app that is inferred according to the context semantic analysis of the recognized handwriting data.
  • the processor 120 also compares the feature data of the stroke of the recognized handwriting data with the feature data of the user's individual handwriting model data to determine the handwriting model name of the recognized handwriting data, so that the difference value is less than or equal to a specific threshold. The closest handwriting model can be determined.
  • the processor 120 executes a mail editor screen using a user account corresponding to the identified handwriting model name as a sender, and displays it on a display (eg, the display device 160 of FIG. 1) to create a user's mail Convenience can be promoted.
  • the processor 120 may display a mail list on a display (eg, the display device 160 of FIG. 1) based on a user account corresponding to the identified handwriting model name. For example, the processor 120 may log in based on the handwriting data recognized by the email server (eg, the server 108) registered in the user account, receive a mail list, and provide it to the user.
  • FIG. 10 is a diagram illustrating an example of performing a call function according to handwriting recognition in an electronic device according to various embodiments of the present disclosure.
  • a processor eg, the processor 120 of FIG. 1
  • a processor may recognize the input handwriting data and provide a telephone function when it is inferred as a phone number according to the context semantic analysis of the recognized handwriting data.
  • the processor 120 also stores the feature data of the stroke of the recognized handwriting data in the memory (for example, the memory 130 of FIG. 1) to identify the handwriting model name of the recognized handwriting data. By comparison, it is possible to determine the closest handwriting model whose difference value is below a certain threshold.
  • the processor 120 communicates with a user device (eg, the external electronic device 102 or 104 of FIG. 1) registered with a user account corresponding to the identified handwriting model name to provide a voice call function.
  • a user device eg, the external electronic device 102 or 104 of FIG. 1
  • the processor 120 may send a command to the user device 102 or 104 to request that the user device 102 or 104 launch a phone app and make a call, for example, for a voice call.
  • the processor 120 may provide a function provided according to the context semantic analysis of the handwritten data, for example, a user device capable of performing a voice call function. Can send.
  • the processor 120 may allow the user device 102 or 104 to input/output an operation performed on the user device 102 or 104 through the electronic device 101 through, for example, a mirroring function.
  • the related components of the electronic device 101 can be controlled.
  • the processor 120 causes the phone number and related function icons displayed on the user device 102 or 104 to be displayed through the display of the electronic device 101 (for example, the display device 160 of FIG. 1), and the microphone.
  • An audio module (for example, the audio module of FIG. 1) to process the voice input through the input device 150 of FIG. 1 and output sound through a speaker (for example, the sound output device 155 of FIG. 1). (170)) can be controlled.
  • the processor 120 displays the phone icon 1001 and a phone number corresponding to the recognized handwriting data, for example, on the display 160 before connecting to the user device 102 or 104, so that the user selects the phone icon.
  • the processor 120 displays the phone icon 1001 and a phone number corresponding to the recognized handwriting data, for example, on the display 160 before connecting to the user device 102 or 104, so that the user selects the phone icon.
  • FIG. 11 is a diagram illustrating an example of executing a music app according to handwriting recognition in an electronic device according to various embodiments.
  • a processor When a user inputs handwritten data, for example, "music" through the touch screen of the electronic device 101 (for example, the display device 160 of FIG. 1), a processor (for example, FIG. 1)
  • the processor 120 recognizes the input handwriting data and analyzes the handwriting data of the corresponding handwriting data when a specific app, such as music, can be inferred according to the context semantic analysis of the recognized handwriting data
  • the user device registered in the user account according to (for example, the electronic device 102 or 104 of FIG. 1) may be connected to and executed.
  • the processor 120 may send a command to the user device 102 or 104 to request that the user device 102 or 104 launch a music playback app and share sound data, for example, for music playback.
  • the processor 120 may provide a function provided according to the context semantic analysis of handwritten data, for example, a user device capable of performing a music playback function. Can send.
  • the processor 120 When connecting to the user device 102 or 104, it can be connected through short-range network communication (eg, the first network 198 in FIG. 1) or remote network communication (eg, the second network 199 in FIG. 1), and external You can also connect via a server (not shown).
  • the processor 120 when the processor 120 needs to acquire the authority of the corresponding device for connection with the user device 102 or 104, the processor 120 notifies it through a display (eg, the display device 160 of FIG. 1) and receives from the user Required information may be input through a sensor module (eg, the sensor module 176 of FIG. 1 ), a camera module (eg, the camera module 180 of FIG. 1 ), or a touch screen 160.
  • the processor 120 may receive a playlist from a user device 102 or 104 registered with a user account corresponding to the identified handwriting model name, and when the user selects a specific music from the music list, the user device If the specific music is received and played from (102 or 104) or is stored in the memory of the electronic device 101 (eg, the memory 130 of FIG. 1), the music is loaded and played or an external server (eg, FIG. 1) Download from the server 108).
  • a playlist from a user device 102 or 104 registered with a user account corresponding to the identified handwriting model name, and when the user selects a specific music from the music list, the user device If the specific music is received and played from (102 or 104) or is stored in the memory of the electronic device 101 (eg, the memory 130 of FIG. 1), the music is loaded and played or an external server (eg, FIG. 1) Download from the server 108).
  • FIG. 12 is a diagram illustrating an example of executing a multimedia app according to handwriting recognition in an electronic device according to various embodiments of the present disclosure.
  • a processor When a user inputs handwriting data by hand, for example, “gallery” through the touch screen of the electronic device 101 (eg, the display device 160 of FIG. 1 ), a processor (eg, FIG. 1)
  • the processor 120 may recognize the input handwriting data. For example, if the processor can infer a specific app such as a gallery according to the context semantic analysis of the recognized handwriting data, the processor registers a specific app corresponding to the handwriting data in the user account according to the handwriting analysis of the corresponding handwriting data. It may be executed in connection with a user device (for example, the electronic device 102 or 104 of FIG. 1).
  • the electronic device When the electronic device connects to the user device 102 or 104, it can connect through a local area network communication (eg, the first network 198 in FIG. 1) or a remote network communication (eg, the second network 199 in FIG. 1). There is also an external server (not shown) can be connected.
  • the processor 120 when the processor 120 needs to acquire the authority of the corresponding device for connection with the user device 102 or 104, the processor 120 notifies it through the touch screen (for example, the display device 160 of FIG. 1), and the necessary information from the user May be input through a sensor module (eg, the sensor module 176 of FIG. 1 ), a camera module (eg, the camera module 180 of FIG. 1 ), or a touch screen 160.
  • the processor 120 may receive an image list and/or thumbnail from a user device 102 or 104 registered with a user account corresponding to the identified handwritten model name, and the user selects a specific image from the list or thumbnail In this case, the corresponding image may be received from the user device 102 or 104 and displayed on the display 160.
  • FIG. 13 is a diagram for explaining an example of executing a certain app according to handwriting recognition in an electronic device according to various embodiments.
  • the processor recognizes the input handwriting data, and when it is content related to a schedule according to the context semantic analysis of the recognized handwriting data, as a calendar app, time and date or For alarm-related content including the day of the week, it can be inferred as an alarm or reminder app, and in the case of other content, simply as a note app.
  • the processor 120 identifies a handwriting model name that is close to the recognized handwriting data, and a user device registered in a user account corresponding to the identified handwriting model name (eg, the electronic device 102 or 104 of FIG. 1) )) to run the inferred app and perform a function corresponding to the content of the handwritten data input by the user.
  • a handwriting model name e.g. the electronic device 102 or 104 of FIG. 1
  • the processor 120 identifies a handwriting model name that is close to the recognized handwriting data, and a user device registered in a user account corresponding to the identified handwriting model name (eg, the electronic device 102 or 104 of FIG. 1) )) to run the inferred app and perform a function corresponding to the content of the handwritten data input by the user.
  • the contents of handwritten data can be registered in a schedule, or in the case of an alarm or reminder app, an alarm can be registered at a corresponding time.
  • the processor 120 may register the schedule or alarm with the corresponding user name in the electronic device 101 without interworking with the user device 102 or 104.
  • the processor 120 may execute a schedule app or an alarm app and display it on a display (for example, the display device 160 of FIG. 1) so that a user can check it or display an alarm according to the time of the schedule or alarm. have.
  • FIG. 14 is a diagram for explaining an example of executing a plurality of apps through multi-account linking according to handwriting recognition of multiple users in an electronic device according to various embodiments.
  • the processor of the electronic device 101 may provide the second handwritten data through a display (eg, the display device 160 of FIG. 1) while providing a service based on the received first handwritten data. Can receive.
  • the processor 120 may select the second handwriting model data by analyzing the received second handwriting data as handwriting data and comparing the analyzed handwriting data with a plurality of handwriting model data stored in the memory 130.
  • the processor 120 may provide a service based on the second handwritten data received for the second user account corresponding to the selected second handwriting model data.
  • the processor 120 When a user inputs handwriting data such as "music" through the screen 1401 of the touch screen 160, for example, the processor 120 recognizes the input handwriting data, and recognizes the handwriting data.
  • a specific app such as music according to context semantic analysis (eg: music)
  • an inferred app may be executed.
  • the processor 120 may display the play music list on the screen 1403 of the touch screen 160 according to the execution of the inferred app, for example, the music app.
  • the processor 120 when another user inputs other handwritten data through the screen 1405 of the touch screen 160, for example, "Summer vacation on Jeju Island from August 5 to 10, 2018," the processor 120 is being executed.
  • a different input handwriting data is recognized, and according to the context semantic analysis of other recognized handwriting data, for example, a schedule ( calendar app)
  • a specific app such as an app
  • it can be executed in the foreground.
  • the processor 120 terminates the app service to another user or causes the application to be executed in the background after a specified time or according to a day user's selection, and returns the app targeted to the day user to the foreground. You can do it. Meanwhile, in the case of a music app, the processor 120 may allow sound to be output even when running in the foreground. In addition, the processor 120 may display the display (the output device 160 of FIG. 1) for each area without changing the execution state of different apps to the background or foreground, but may enable the app to be activated one day.
  • An electronic device receives an handwritten data through a display (eg, the display device 160 of FIG. 1 ), and receives the received handwritten data. Analyzing with handwriting data, comparing the analyzed handwriting data with a plurality of handwriting model data, selecting one handwriting model data, and based on the received handwriting data based on a user account corresponding to the selected handwriting model data. An operation for providing a service may be performed.
  • the service providing operation searches for at least one external electronic device (eg, the electronic devices 102 and/or 104 of FIG. 1) registered in the user account, and the searched external electronic devices 102 and/or 104.
  • a communication connection can be made.
  • the service providing operation may be provided by the electronic device 101 by receiving app-related data corresponding to the received handwriting data from the at least one external electronic device 102 and/or 104.
  • the service providing operation may include the server in which the at least one external electronic device 102 and/or 104 or the at least one external electronic device 102 and/or 104 are registered (eg, the server 108 in FIG. 1). From at least some of the plurality of handwriting model data may be received.
  • the service providing operation may receive and output multimedia data according to execution of an app corresponding to the received handwriting data from the at least one external electronic device 102 and/or 104.
  • the selection operation extracts feature data from a stroke of the received handwriting data and identifies a corresponding character.
  • the selecting operation may select a related app or function by analyzing the context of the character of the received handwriting data.
  • the service providing operation analyzes the context of the text and selects one of a plurality of external electronic devices 102 and/or 104 registered in the user account to interwork with the selected external electronic device 102 or 104 to Can provide services.
  • the service providing operation may display a subject performing the app or function as the user account and execute the app or function.
  • the electronic device 101 provides an operation of receiving second handwritten data through the display while providing a service based on the received handwritten data, and analyzing the received second handwritten data as handwritten data, Comparing the handwriting data with a plurality of handwriting data, selecting a second handwriting model data and providing a service based on the received second handwriting data based on a second user account corresponding to the selected second handwriting model data It can further perform the operation.

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Abstract

Un dispositif électronique de la présente invention pour fournir un service sur la base d'une entrée d'utilisateur comprend : un dispositif d'affichage à écran tactile conçu pour recevoir une entrée de données manuscrites; un circuit de communication; un dispositif d'affichage; et un processeur connecté fonctionnellement au circuit de communication, le processeur pouvant recevoir les données manuscrites entrées par l'intermédiaire du dispositif d'affichage, analyser les données manuscrites reçues avec des données de calligraphie, sélectionner une donnée de modèle de calligraphie par comparaison des données de calligraphie analysées avec une pluralité de données de modèle de calligraphie, et fournir un service sur la base des données manuscrites reçues sur la base d'un compte d'utilisateur correspondant aux données de modèle de calligraphie sélectionnées.
PCT/KR2019/017172 2018-12-06 2019-12-06 Dispositif électronique et procédé de fourniture de service sur la base d'une entrée d'utilisateur Ceased WO2020116982A1 (fr)

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KR10-2018-0156185 2018-12-06
KR1020180156185A KR102629411B1 (ko) 2018-12-06 2018-12-06 전자 장치 및 그의 사용자 입력에 기반한 서비스 제공 방법

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US12205389B2 (en) 2021-02-25 2025-01-21 Samsung Electronics Co., Ltd. Method and system for handwritten input recognition

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WO2017069553A1 (fr) * 2015-10-23 2017-04-27 주식회사 피노텍 Système de service financier non orienté utilisant un appareil de confirmation d'utilisateur utilisant un traitement parallèle de signature et technique d'authentification de signature manuscrite
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