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EP4581451A1 - Détection de proximité passive à l'aide d'une électrode - Google Patents

Détection de proximité passive à l'aide d'une électrode

Info

Publication number
EP4581451A1
EP4581451A1 EP24787668.3A EP24787668A EP4581451A1 EP 4581451 A1 EP4581451 A1 EP 4581451A1 EP 24787668 A EP24787668 A EP 24787668A EP 4581451 A1 EP4581451 A1 EP 4581451A1
Authority
EP
European Patent Office
Prior art keywords
electrode
computing device
electric field
detecting
change
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.)
Pending
Application number
EP24787668.3A
Other languages
German (de)
English (en)
Inventor
Ke-Yu Chen
Debanjan Mukherjee
Xiaoyu Guo
Hong Z. Tan
Samuel Wei Sheng
Kevin Drake
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.)
Google LLC
Original Assignee
Google LLC
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 Google LLC filed Critical Google LLC
Publication of EP4581451A1 publication Critical patent/EP4581451A1/fr
Pending legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
    • G06F1/26—Power supply means, e.g. regulation thereof
    • G06F1/32—Means for saving power
    • G06F1/3203—Power management, i.e. event-based initiation of a power-saving mode
    • G06F1/3206—Monitoring of events, devices or parameters that trigger a change in power modality
    • G06F1/3231—Monitoring the presence, absence or movement of users
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
    • A61B5/024—Measuring pulse rate or heart rate
    • A61B5/02438—Measuring pulse rate or heart rate with portable devices, e.g. worn by the patient
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
    • A61B5/024—Measuring pulse rate or heart rate
    • A61B5/0245—Measuring pulse rate or heart rate by using sensing means generating electric signals, i.e. ECG signals
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Measuring devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
    • A61B5/1126—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb using a particular sensing technique
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6887—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
    • A61B5/6898—Portable consumer electronic devices, e.g. music players, telephones, tablet computers
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2560/00—Constructional details of operational features of apparatus; Accessories for medical measuring apparatus
    • A61B2560/02—Operational features
    • A61B2560/0204—Operational features of power management
    • A61B2560/0209—Operational features of power management adapted for power saving
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
    • A61B2562/02—Details of sensors specially adapted for in-vivo measurements
    • A61B2562/0257—Proximity sensors
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/48—Other medical applications
    • A61B5/4806—Sleep evaluation
    • A61B5/4815—Sleep quality

Definitions

  • Electronic devices can provide a variety of features and functionality that make everyday life easier for users. Some features, however, can strain the electronic device’s power resources, thereby reducing a duration of mobile operation or causing the electronic device to be recharged more often. As limitations on available power can significantly impact the utilization of electronic devices, there is an increased demand for implementing features that consume less power and minimize overall power consumption of the electronic device.
  • the method includes passively sensing, using at least one electrode of the computing device, an electric field that exists within an external environment.
  • the method also includes detecting, based on the passive sensing, a change in the electric field.
  • the method additionally includes detecting from the change in the electric field that a body is within a proximity range from the computing device.
  • aspects described below also include an apparatus comprising at least one electrode and configured to perform any of the described methods.
  • aspects described below include a computer-readable storage medium comprising computer-executable instructions that, responsive to execution by a processor, cause a computing device to perform any one of the described methods.
  • aspects described below also include a system capable of performing passive proximity detection using an electrode.
  • FIG. 1 illustrates an example environment in which passive proximity detection using an electrode can be implemented
  • FIG. 2 illustrates example components of a computing device for implementing aspects of passive proximity detection using an electrode
  • FIG. 4 illustrates an example implementation of a computing device that is capable of performing passive proximity detection using an electrode
  • FIG. 6 illustrates example data generated by an electrode for passive sensing
  • FIG. 7 illustrates an example plot of signal attenuation over angle of incidence for passive sensing
  • WLAN wireless-local- area-network
  • Wi-Fi® Wi-Fi® sensing
  • Other electronic devices can perform passive proximity detection through wireless-local- area-network (WLAN) sensing (or Wi-Fi® sensing) using a transceiver.
  • WLAN wireless-local-area-network
  • Wireless-local-area- network sensing can be challenging to implement as it requires multiple transmitters, which makes it hard to scale to a home setting.
  • the wireless local-area-network sensing can also be obstructed by objects within a home.
  • a computing device includes at least one electrode, which is capable of sensing an electric field in an external environment.
  • the computing device can perform passive proximity detection to detect the presence (or absence) of a body.
  • This form of passive proximity detection can consume significantly less power compared to other active sensing techniques.
  • passive proximity detection using the electrode can be performed in a continuous manner to enable the computing device to dynamically respond to the body’s presence or absence.
  • the electrode can also be cheaper and/or have a smaller footprint compared to other types of proximity sensors.
  • Other advantages of the electrode include it being orientation agnostic, able to operate in all lighting conditions, and capable of penetrating obstructions. With the use of the electrode, passive proximity detection can be performed while preserving a user’s privacy.
  • FIG. 1 is an illustration of example environments in which passive sensing using an electrode can be implemented.
  • the electrode 104 can be embedded or integrated within the computing device 102. In this case, the electrode 104 can be considered part of the computing device 102.
  • the electrode 104 is incorporated in a side button 106 of the computing device 102.
  • the side button 106 can control a feature and/or component of the computing device 102, such as a volume of a speaker, a power state of the computing device 102. or an operation of a camera of the computing device 102.
  • Other implementations are also possible in which the electrode 104 represents a distinct component that is separate from, but coupled to, the computing device.
  • the computing device 102 is depicted as a smartphone in FIG. 1, the computing device 102 can include other ty pes of devices, including those described with respect to FIG. 2.
  • the computing device 102 performs passive sensing 108 using the electrode 104.
  • the electrode 104 senses an electric field in an external environment (e.g., an electric field that exists outside of the computing device 102), as further described with respect to FIG. 3.
  • Passive sensing 108 refers to an ability of the electrode 104 to detect the electric field without actively emitting energy (e.g., without transmitting a signal). In this way, the electrode 104 can consume significantly less power compared to other sensors that perform active sensing.
  • Proximity detection 110 involves detecting a presence, or an absence, of a user 120. In some cases, proximity detection 110 can also include determining a distance and/or an angle to the user 120.
  • the computing device 102 uses the electrode 104 to detect the presence of the user 120. The user 120 approaches a sink, which is next to the computing device 102, to wash their hands. In this case, the computing device 102 turns on its display based on the detected presence of the user 120. If the user 120 leaves, the computing device 102 can use the electrode 104 to detect the absence of the user 120. In this case, the computing device 102 can turn off the display to conserve power.
  • the electrode 104 senses the electric field 302 to generate data 404.
  • the data 404 can include at least one charge value 406, which represents an intensity of the electric field 302.
  • the electrode 104 can include an impedance circuit that is coupled between an electrical conductor of the electrode 104 and a grounding node of the computing device 102. A static voltage can be measured across the impedance circuit and is represented by the charge value 406.
  • the distance 418 can be determined based on the proximity range 306 of the electrode 104.
  • a sensitivity of the electrode 104 can be adjusted to change the proximity range 306.
  • the proximity and/or motion detector 208 can detennine an approximate distance 418 of the body 304.
  • Other techniques are also possible in which the distance 418 is determined based on the amount of a magnitude of the charge value 406 or based on an amount of variation within the magnitude of the charge value 406.
  • the proximity' and/or motion detector 208 can compare the data 404 between two electrodes 104 that are positioned at different locations. The differences in location enable the proximity and/or motion detector 208 to determine the angle 420 through techniques such as triangulation. Other techniques that utilize a machine-learned model are also possible. With a machine-learned model, it may be possible to determine the angle 420 based on the data 404 from a single electrode 104.
  • the state manager 210 controls a state of the computing device 102.
  • the state manager 210 generates a control signal 424 based on the proximity and/or motion data 414.
  • the control signal 424 causes the computing device 102 to switch between different power states when there is a change in the proximity' and/or motion data 414.
  • the state manager 210 can cause the computing device 102 to be in a high-power state if the proximity’ and/or motion data 414 indicates that the body 304 is present and/or indicates that the body 304 is moving.
  • the state manager 210 can cause the computing device 102 to be in a low-power state if the proximity' and/or motion data 426 indicates that the body 304 is absence and/or indicates that the body 304 is relatively stationary'.
  • Other states such as intermediary pow er states, are also possible and can be controlled based on the distance 418 and/or the angle 420.
  • Still other states may not necessarily be related to power consumption and can instead involve an operating state of a particular component within the computing device 102.
  • Example states can control a communication mode and/or an operating frequency of a transceiver of the network interface 212. control a brightness of the display 214, control a volume of a speaker of the computing device 102, or control an on/off state of a microphone of the computing device 102 on or off.
  • Another example state can include a warm-up state (or an initialization) state of a particular component or system within the computing device 102. In this case, the state manager 210 can cause the component to transition from a powered-off state to the warm-up state based on the body 304 being detected.
  • This proactive state transition can ensure the component has completed an initialization process and has entered an active state by a time the body 304 is close enough to the computing device 102 to interact with the computing device 102.
  • This level of responsiveness as afforded through proximity' detection 110, can improve the user experience by removing delays associated with components of the device 102 going through a warm-up sequence. Furthermore, power can be conserved while the body 304 is absent.
  • the motion sensor 202 controls an operation of the proximity' and/or motion detector 208.
  • the motion sensor 202 generates motion data 426, which indicates if the computing device 102 is moving or is relatively stationary. If the motion data 426 indicates that the computing device 102 is relatively stationary, the proximity and/or motion detector 208 can perform the proximity detection 110 and/or motion detection 112. Otherwise, if the motion data 426 indicates that the computing device 102 is moving, the proximity and/or motion detector 208 can temporarily stop performing the proximity detection 110 and/or the motion detection 1 12.
  • FIG. 5 illustrates an example scheme 500 that utilizes passive proximity detection 110 to control an operational state of the computing device 102.
  • the computing device 102 performs proximity detection 110 using the electrode 104, as explained above with respect to FIG. 4.
  • the computing device 102 uses the motion sensor 202 to determine if the computing device 102 is stationary' (or substantially stationary). The computing device 102 can determine that it is relatively stationary based on the motion data 426 indicating that movement of the computing device 102 is less than athreshold. If the computing device 102 is not stationary, no further action is taken at 506 and the computing device 102 remains in its current state. If the computing device 102 is stationary' at 504, the process can continue to 508.
  • the computing device 102 determines if the body 304 is present. For example, the proximity and/or motion detector 208 detects the presence 416 and/or detects the motion 422 of the body 304. If the body 304 is absent (e.g., outside of the proximity range 306), the state manager 210 causes the computing device 102 to operate in a low-power state, as indicated at 510.
  • the low-power state can correspond to the computing device 102 consuming a first amount of power. In some cases, the low-power state can cause the computing device 102 to turn off the display 214 and/or turn off the authentication system 216, as indicated at 512 and 514, respectively. That is, the low-power state may be a state in which one or both of the display 214 and the authentication system 216 are turned off.
  • the state manager 210 causes the computing device 102 to operate in a high-power state, as indicated at 516.
  • the high-power state can correspond to the computing device 102 consuming a second amount of power, which is larger than the first amount of power.
  • the high-power state can cause the computing device 102 to turn on the display 214 and/or turn on the authentication system 216, as indicated at 518 and 520, respectively. That is, the high-power state may be a state in which one or both of the display 214 and the authentication system 216 are turned off.
  • the step at 508 includes determining if the body 304 is moving. By dynamically changing the state of the computing device 102 based on the passive sensing 108, the computing device 102 can conserve power while ensuring responsiveness and/or improving the user experience.
  • the electrode 104 can continue sensing the electric field 302 and generating the data 404.
  • the computing device 102 can continue performing passive proximity detection 110 at 502.
  • the data 404 generated by the electrode 104 is further described with respect to FIG. 5.
  • FIG. 6 illustrates example data 404 generated by the electrode 104 for passive sensing 108.
  • a graph 600 depicts a magnitude of the charge values 406 over time.
  • the body 304 is present within the proximity range 306 and/or moves within the proximity range 306.
  • the body 304 e.g., the user 120
  • the body 304 can be walking towards the computing device 102 and enters the proximity range 306 at 602.
  • the body 304 is present within the proximity’ range 306 and performs a gesture using a human appendage (e.g., the user 120 performs a gesture using their hand) at 602.
  • the presence 416 and/or motion 422 of the body 304 causes the magnitude of the charge values 406 to vary significantly at 602.
  • the proximity and/or motion detector 208 can analyze changes in the magnitude of the charge values 406 over time to detect the presence 416 and/or the motion 422 of the body 304.
  • the change can be relative to a previous state or relative to a previous trend in the data 404.
  • the previous state can refer to a portion of the data 404 during which the body 304 is absent (e.g., is outside of the proximity range 306) and/or a portion of the data 404 during which the body 304 is relatively stationary.
  • the proximity and/or motion detector 208 can utilize a threshold and/or can employ machine learning to detect the change in the data 404 at 602 and associate the change with the presence 416 and/or the motion 422 of the body 304.
  • the term “significantly” can mean that the values of the magnitude can change by 20% or more relative to a previous value (e.g., relative to an average of a set of previous values). Additionally or alternatively, a slope of the data 404 can vary significantly. Sometimes the slope of the data 404 can change signs (e.g., from a positive slope to a negative slope, or vice versa). A magnitude of the slope of the data 404 can sometimes change by approximately 10% or more. The specific values of the change in magnitude or slope that may be determined to be ‘'significant” may be determined empirically.
  • FIG. 7 depicts an example plot 700 of the data 404 over angle of incidence for passive sensing 108.
  • the body 304 e.g., the user 120
  • a movement of the body 304 may be detected in an environment by one or more electrodes 104 on the computing device 102
  • the body 304 or the movement of the body 304 may be at an angle relative to the orientation of the one or more electrodes 104 (e.g., relative to an orientation of the computing device 102).
  • the plot 700 shows example magnitudes of the data 404 (in decibels (dB)), which is detected across different angles of incidences (in degrees) between the body 304 and the computing device 102.
  • dB decibels
  • the passive sensing 108 performed using the electrode 104 is agnostic to orientation.
  • the computing device 102 can perform passive sensing 108 using the electrode 104 regardless of an angular position of the body 304 (e.g., regardless of whether the body 304 is on a same side of the computing device 102 as the electrode 104 or is on an opposite side of the computing device 102 relative to the electrode 104).
  • Example objects include those that have a static electric field (e.g., a static charge).
  • an electric field that exists within an external environment is passively sensed using at least one electrode of a computing device.
  • the computing device 102 performs passive sensing 108 using at least one electrode 104, as shown in FIG. 1.
  • the electrode 1 4 senses the electric field 302 within an external environment, as shown in FIG. 3.
  • the electrode 104 generates data 404, which can include one or more charge values 406.
  • Each charge value 406 represents an intensity of the electric field 302.
  • the electrode 104 senses the electric field 302 without emitting energy (e.g., without transmitting a signal). In this way, the computing device 102 can continuously perform passive sensing 108 without significantly impacting pow er resources.
  • the computing system 900 also includes communication devices 902 that enable wired and/or wireless communication of device data 904 (e.g., received data, data that is being received, data scheduled for broadcast, or data packets of the data).
  • device data 904 e.g., received data, data that is being received, data scheduled for broadcast, or data packets of the data.
  • the device data 904 or other device content can include configuration settings of the device, media content stored on the device, and/or information associated with a user of the device.
  • Media content stored on the computing system 900 can include any type of audio, video, and/or image data.
  • the computing system 900 includes one or more data inputs 906 via which any type of data, media content, and/or inputs can be received, such as human utterances, user-selectable inputs (explicit or implicit), messages, music, television media content, recorded video content, and any other type of audio, video, and/or image data received from any content and/or data source.
  • data inputs 906 via which any type of data, media content, and/or inputs can be received, such as human utterances, user-selectable inputs (explicit or implicit), messages, music, television media content, recorded video content, and any other type of audio, video, and/or image data received from any content and/or data source.
  • the computing system 900 additionally includes communication interfaces 908, which can be implemented as any one or more of a serial and/or parallel interface, a wireless interface, any type of network interface, a modem, and as any other type of communication interface.
  • the communication interfaces 908 provide a connection and/or communication links between the computing system 900 and a communication network by which other electronic, computing, and communication devices communicate data with the computing system 900.
  • the computing system 900 includes one or more processors 910 (e.g., any of microprocessors, controllers, and the like), which process various computer-executable instructions to control the operation of the computing system 900.
  • processors 910 e.g., any of microprocessors, controllers, and the like
  • the computing system 900 can be implemented with any one or combination of hardware, firmware, or fixed logic circuitry that is implemented in connection with processing and control circuits which are generally identified at 912.
  • the computing system 900 can include a system bus or data transfer system that couples the various components within the device.
  • a system bus can include any one or combination of different bus structures, such as a memory bus or memory controller, a peripheral bus, a universal serial bus. and/or a processor or local bus that utilizes any of a variety of bus architectures.
  • the computer-readable medium 914 provides data storage mechanisms to store the device data 904, as well as various device applications 918 and any other types of information and/or data related to operational aspects of the computing system 900.
  • an operating system 920 can be maintained as a computer application with the computer-readable medium 914 and executed on the processors 910.
  • the device applications 918 may include a device manager, such as any form of a control application, software application, signal-processing and control module, code that is native to a particular device, a hardware abstraction layer for a particular device, and so on.
  • the device applications 918 also include any system components, engines, or managers to perform aspects of passive sensing 108, including proximity detection 110, motion detection 112, sleep-quality assessment 114, electrical-wire detection 116, biometric monitoring 118, or combinations thereof.
  • the device applications 918 include the proximity and/or motion detector 208 of FIG. 2 for performing proximity detection 110 and/or motion detection 112.
  • the device applications 918 can also optionally include the state manager 210 of FIG. 2.
  • a computing system 900 may analyze information associated with the user 120, for example the data 404 mentioned with respect to FIG. 4.
  • the data 404 can be associated with a location of the user 120 relative to the computing device 102, a motion of the user 120, and/or biometrics of the user 120.
  • a user 120 may be provided with controls allowing the user 120 to make an election as to both if and when systems, programs, and/or features described herein may enable collection of information (e.g., information associated with proximity detection 110, motion detection 112, sleep-quality' assessment 114, electrical -wire detection 116, and/or biometric monitoring 118), and if the user 120 is sent content or communications from a server.
  • the computing system 900 can be configured to only use the information after then computing system 900 receives explicit permission from the user 120 to use the data.
  • individual users 120 may be provided w ith an opportunity' to provide input to control whether programs or features of the computing system 900 can collect and make use of the data 404 generated by the electrode 104. Further, individual users 120 may have constant control over what programs can or cannot do with the information.
  • Example 3 The method of example 1 or 2, further comprising: operating the computing device in a low-power state prior to the detecting that the body is present; and operating the computing device in a high-power state responsive to the detecting that the body is present.
  • Example 9 The method of any previous example, wherein: the at least one electrode is positioned on a first side of the computing device; and a second side of the computing device that is opposite the first side is oriented towards the body.
  • Example 11 The method of any previous example, further comprising: detecting a presence of an electrical wire based on the passive sensing.
  • Example 12 The method of any previous claim, wherein the passive sensing comprises passively sensing the electric field without emitting energy within the external environment.
  • Example 13 An apparatus comprising: at least one electrode, the apparatus configured to perform, using the at least one electrode, any one of the methods of examples 1 to 12.
  • Example 14 The device of example 13, wherein: the device comprises a button that is positioned on one side of the device; and the at least one electrode is integrated within the button.
  • Example 15 The device of example 13 or 14, further comprising an electrocardiogram sensor, the electrocardiogram sensor including the at least one electrode.
  • Example 16 The device of any one of examples 13 to 15, wherein the at least one electrode comprises at least two electrodes.
  • Example 17 The device of any one of examples 13 to 16, wherein the at least one electrode is configured to operate in a continuous manner while the apparatus is powdered on.
  • Example 18 A computer-readable storage medium comprising instructions that, responsive to execution by a processor, cause a computing device to perform any one of the methods of examples 1 to 12.
  • Example 19 A method for proximity sensing, the method comprising: receiving, by one or more processors, a first charge value, the first charge value based on first electrode data produced by a first electrode at a first time; receiving, by the one or more processors, a second charge value, the second charge value based on second electrode data produced by a second electrode at a second time; comparing, by the one or more processors, the first charge value and the second charge value; and determining, by the one or more processors and based on the comparison, whether a motion has been detected.
  • Example 20 The method of example 19, wherein the first and second electrodes are the same electrode.
  • Example 21 The method of example 19 or 20, further comprising: determining, by the one or more processors and based on the comparison, whether a charge source emitter is emitting a charge distribution; and responsive to the determination that the charge source emitter is emitting a charge distribution, determining, by the one or more processors, at least one of a direction or a distance of the charge source emitter relative to a mobile electronic device.
  • Example 23 The mobile electronic device of example 22, wherein the one or more electrodes are configured to function as electrocardiogram (ECG) sensors.
  • ECG electrocardiogram
  • Example 24 The mobile electronic device of example 22 or 23, wherein: the electric charge sensed by the one or more electrodes is caused by a corresponding electric field (E-field); the first electrode data is based on a first E-field value of the E-field at the first time; and the second electrode data is based on a second E-field value of the E-field at the second time.
  • E-field electric field
  • Example 25 The mobile electronic device of example 22, 23, or 24, wherein the instructions further cause the one or more processors to: determine, based on the comparison, whether a charge source emitter is emitting a charge distribution; and responsive to a determination that the charge source emitter is emitting a charge distribution, determine at least one of a direction or a distance of the charge source emitter relative to the mobile electronic device.

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  • Switches That Are Operated By Magnetic Or Electric Fields (AREA)
  • Arrangement Of Elements, Cooling, Sealing, Or The Like Of Lighting Devices (AREA)

Abstract

L'invention concerne des techniques et des appareils qui mettent en œuvre une détection de proximité passive à l'aide d'une électrode. Selon des aspects donnés à titre d'exemple, un dispositif informatique (102) comprend au moins une électrode (104), qui permet de détecter passivement (108) un champ électrique dans un environnement externe. En utilisant l'électrode (104) pour détecter des variations du champ électrique, le dispositif informatique (102) peut effectuer une détection de proximité (110) pour détecter la présence (ou l'absence) d'un corps. Cette forme de détection de proximité (110) peut consommer considérablement moins d'énergie par comparaison à d'autres techniques de détection active. L'électrode (104) peut également être moins coûteuse et/ou avoir une plus petite empreinte par comparaison à d'autres types de capteurs. D'autres avantages de l'électrode (104) comprennent le fait qu'elle soit indépendante de l'orientation, apte à fonctionner dans toutes les conditions d'éclairage, et apte à pénétrer des obstacles. Grâce à l'utilisation de l'électrode (104), une détection de proximité (110) peut être effectuée tout en préservant la confidentialité d'un utilisateur (120).
EP24787668.3A 2023-10-03 2024-09-30 Détection de proximité passive à l'aide d'une électrode Pending EP4581451A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US202363587519P 2023-10-03 2023-10-03
PCT/US2024/049305 WO2025075922A1 (fr) 2023-10-03 2024-09-30 Détection de proximité passive à l'aide d'une électrode

Publications (1)

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EP4581451A1 true EP4581451A1 (fr) 2025-07-09

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US7078911B2 (en) * 2003-02-06 2006-07-18 Cehelnik Thomas G Patent application for a computer motional command interface
WO2011020216A1 (fr) * 2009-08-18 2011-02-24 Yang Changming Produit, procédé et système de surveillance d’une fonction et d’une posture physiologiques
US10437314B2 (en) * 2016-11-30 2019-10-08 Anhui Huami Information Technology Co., Ltd. Detecting wearing state of wearable devices using body capacitance
IT202100019808A1 (it) * 2021-07-26 2023-01-26 St Microelectronics Srl Metodo di controllo di un apparecchio per l'attivazione di una o piu' funzionalita' dello stesso

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