[go: up one dir, main page]

WO2016184089A1 - Procédé et appareil d'acquisition d'informations, et support de stockage informatique - Google Patents

Procédé et appareil d'acquisition d'informations, et support de stockage informatique Download PDF

Info

Publication number
WO2016184089A1
WO2016184089A1 PCT/CN2015/097446 CN2015097446W WO2016184089A1 WO 2016184089 A1 WO2016184089 A1 WO 2016184089A1 CN 2015097446 W CN2015097446 W CN 2015097446W WO 2016184089 A1 WO2016184089 A1 WO 2016184089A1
Authority
WO
WIPO (PCT)
Prior art keywords
food
value
weight
unit
information
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/CN2015/097446
Other languages
English (en)
Chinese (zh)
Inventor
杨楠
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.)
ZTE Corp
Original Assignee
ZTE Corp
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 ZTE Corp filed Critical ZTE Corp
Publication of WO2016184089A1 publication Critical patent/WO2016184089A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Z—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS, NOT OTHERWISE PROVIDED FOR
    • G16Z99/00—Subject matter not provided for in other main groups of this subclass
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment

Definitions

  • the present invention relates to the field of signal processing, and in particular, to an information acquisition method, apparatus, and computer storage medium.
  • Health issues are one of the main problems faced by people of all ages.
  • One of the most important health issues involves obesity. It is known that obesity plays an important role in the physical and mental development of children. Obesity and overweight problems also have a direct impact on other health issues such as heart disease, high blood pressure and diabetes. It is widely acknowledged that exercise and proper diet are key to health, so individual consumers need to constantly monitor their food intake.
  • smart wearable devices are increasingly used in people's lives, such as smart watches or bracelets.
  • Current smart wearable devices typically have health-related functions such as detecting heart rate, counting steps, monitoring sleep quality, calculating calories burned, and the like. People can detect the health of the body through smart wearable devices. However, there is no detection in the prior art regarding the caloric intake of the human body.
  • Embodiments of the present invention provide an information acquisition method and apparatus, and it is desirable to be able to obtain a calorie value of a food intake by a human body.
  • An embodiment of the present invention provides an information acquiring method, where the information acquiring method includes:
  • the total caloric value of the ingested food is determined based on the caloric value of the food unit weight and the first weight value.
  • the determining the calorific value of the food unit weight according to the name of the food comprises:
  • a calorific value of the food unit weight corresponding to the name of the food is found in a preset food database.
  • the obtaining the first weight value of ingesting the food comprises:
  • the first weight value is obtained by adding the third weight value for each intake of the food.
  • the method before the third time weight value of the food is ingested in the preset preset time, the method further includes:
  • the obtaining a third weight value of the food intake each time in a preset time comprises:
  • the obtaining the name of the food includes:
  • the information obtaining method further includes:
  • An embodiment of the present invention further provides an information acquiring apparatus, where the information acquiring apparatus includes: a first acquiring unit, a first determining unit, a second acquiring unit, and a second determining unit, where
  • the first obtaining unit is configured to acquire a name of the food
  • the first determining unit is configured to determine a heat value of the food unit weight according to the name of the food;
  • the second obtaining unit is configured to acquire a first weight value of the food intake
  • the second determining unit is configured to determine a total calorie value of the food intake according to the calorie value of the food unit weight and the first weight value.
  • the first determining unit is further configured to search for a calorific value of the food unit weight corresponding to the name of the food in a preset food database.
  • the second obtaining unit is configured to acquire a third weight value of the food intake each time in a preset time; and is further configured to use the third weight of the food each time the food is ingested The values are added to obtain the first weight value.
  • the second acquiring unit is further configured to acquire a first action feature value
  • the first determining unit is further configured to match the first action feature value with the action feature value in the preset action database.
  • the second obtaining unit includes: a processing module, where
  • the second acquiring unit is configured to acquire a current signal of the skin if the first action feature value is successfully matched with any action feature value in the preset action database;
  • the processing module is configured to process the current signal to obtain a signal threshold of the current signal
  • the first determining unit is further configured to search, in the preset weight database, a third weight value corresponding to the signal threshold.
  • the first acquiring unit is further configured to acquire voice information, and determine a name of the food according to the voice information;
  • the first obtaining unit is further configured to acquire picture information, and determine a name of the food according to the picture information.
  • the information acquiring apparatus further includes:
  • a wireless transmission unit configured to transmit the first weight value and the total heat value to the terminal device.
  • the embodiment of the present invention further provides a computer storage medium, where the computer storage medium stores computer executable instructions, and the computer executable instructions are used to execute at least one of the foregoing information acquisition methods.
  • An embodiment of the present invention provides an information acquisition method and apparatus, and a computer storage medium.
  • the information acquisition device acquires a name of the food, determines a calorific value of the food unit weight according to the name of the food, and obtains a quantity of the food intake. a weight value; determining a total calorie value of the food intake based on the calorie value of the food unit weight and the first weight value.
  • the method and device for acquiring information provided by the embodiment of the present invention can obtain the weight of the food by detecting the motion of the user, and can obtain the body intake according to the caloric value of the unit weight of the food and the first weight value of the food. The total calories of the food.
  • FIG. 1 is a schematic flowchart 1 of an information acquisition method according to an embodiment of the present invention.
  • FIG. 2 is a second schematic flowchart of an information acquisition method according to an embodiment of the present invention.
  • FIG. 3 is a schematic structural diagram 1 of an information acquiring apparatus according to an embodiment of the present disclosure.
  • FIG. 4 is a schematic structural diagram 2 of an information acquiring apparatus according to an embodiment of the present invention.
  • the preset database in the information acquisition method is first described.
  • the preset database may include: a preset action database, a preset habit database, a preset food database, and a preset weight database.
  • the preset action database prepares for the startup of the entire process of the information acquisition method, and starts the recording mode for matching the specific action.
  • the information acquisition device can usually be worn at the thickest position of the arm, where the muscle tissue is the most developed, and the bioelectric signal is the strongest, which is more conducive to improving the recognition rate.
  • the user can pre-set the start actions of different actions in the preset action database, such as the action of holding vegetables, the action of drinking water, the action of drinking soup, etc., and the action is mapped into various configurable control commands, and the control is controlled.
  • the command extracts the action feature value and stores the action feature value in the preset action database.
  • the pre-stored action feature value is used to indicate the measurement to begin the action.
  • the information acquiring device acquires the action of holding the dish, and maps the action of the dish into a configurable control command, and the control command extracts the feature value of the action of the dish, and
  • the feature values of the action of the dish are stored in a preset action database.
  • the information acquisition device acquires the feature value of the action of the dish, and searches for the feature value of the action of the dish in the preset action database, and if the action of the dish is found.
  • the characteristic value indicates that the user starts to carry the food, and then begins to record the food, that is, the weight of each dish is recorded.
  • the preset habit database may include: recording data on the proportion of meals per meal according to eating habits, For example, the ratio of the intake of meat, vegetables, and staple foods, and the ratio of these ratios are used to calculate the calorific value of various foods in the information acquisition method.
  • the preset food database includes calorie data for various foods, for example, 1 gram of 1.5 kilograms of rice, 1 gram of tofu brain, 0.47 kilocalories, and the like.
  • the caloric data of various foods can be obtained from the open source database, which is the caloric database of the existing food, and can also be obtained from the existing public food calorie data, for example, the calories of common foods disclosed on the web, The heat of common foods disclosed on books about healthy eating.
  • the preset weight database may include a correspondence between a signal threshold value and a weight value of a signal generated when a different weight object is held.
  • the information acquiring device determines that the correspondence between the weight value and the signal threshold may include:
  • the user picks up or picks up an object of a known weight, and the information acquiring device acquires a first current signal, that is, the information acquiring device acquires a skin muscle current signal of the skin above the muscle, that is, a bio-current signal, and the bio-current signal is the first current. signal.
  • the signal amplifying unit amplifies the bio-current signal, and filters the amplified bio-current signal to remove an unrelated bio-current signal, that is, the amplified first current signal is concentrated and filtered to obtain a specific frequency and a biological information with important information.
  • the analog-to-digital conversion unit converts the second current signal into a first digital signal, that is, converts the characteristic curve of the second current signal into a first digital signal through time-division multiplexing or an analog-to-digital conversion circuit unique to a single signal channel.
  • the first digital signal may include the strength and signal of the signal The amplitude, the envelope of the signal, the frequency spectrum of the signal, the energy distribution of the signal, and the phase difference between the individual signal channels.
  • the second filtering unit digitally filters the first digital signal to remove weight-independent information to obtain a second digital signal.
  • the rectifying unit performs rectification processing on the second digital signal.
  • the rectified second digital signal is stored in a weight database.
  • the weight thresholds of the corresponding second digital signals of different weights are extracted according to different weights of different second digital signals, for example, G0, G1, G2, ..., Gn, and these signal thresholds are used. Corresponding to different weights.
  • the relationship between the signal thresholds of the different second digital signals and their corresponding weights is stored in a preset weight database.
  • the method further includes:
  • the predetermined calorie intake value here may be the lowest calorie intake value or the highest calorie intake value.
  • the predetermined calorie intake value is the lowest intake value, the user is reminded of the need or can continue to eat.
  • the predetermined calorific value is the highest calorie intake value, the user is reminded to stop eating.
  • the predetermined calorific value here may be determined according to the value input by the user, or may be automatically generated by the electronic device according to various information such as detecting the user's weight, daily calorie consumption, and the like.
  • An embodiment of the present invention provides an information acquisition method. As shown in FIG. 1 , the information acquisition method may include:
  • Step 101 The information acquiring device acquires a name of the food, and determines a calorific value of the unit weight of the food according to the name of the food.
  • the information acquiring apparatus may first acquire the voice information, determine the name of the food according to the voice information, and then search and check the preset food database.
  • the name of the food corresponds to the calorific value of the unit weight of the food.
  • the user before ingesting the food, transmits the food to be eaten to the information acquisition device by voice, and the information acquisition device acquires the voice information, and the voice information can be obtained by setting a microphone in the information acquisition device.
  • the information acquisition device can convert the acquired voice information into a food keyword, that is, a name of the food. Then, the information acquisition means searches the preset food database for the calorie value of the food unit weight corresponding to the name of the food.
  • the information acquiring apparatus may further acquire the picture information, determine the name of the food according to the picture information, and search for the food unit weight corresponding to the name of the food in the preset food database.
  • the calorific value may be further acquired.
  • the information acquiring device may obtain a photo of the ingested food by photographing, and acquire the name of the food by using an existing image recognition technology, and then the information acquiring device searches for a name corresponding to the food in the preset food database.
  • the calorific value of the unit weight of the food may be obtained by photographing, and acquire the name of the food by using an existing image recognition technology, and then the information acquiring device searches for a name corresponding to the food in the preset food database.
  • Step 102 The information acquiring device acquires a first weight value for ingesting the food.
  • the information acquisition device acquires a third weight value of the food intake each time in a preset time, and adds the third weight value of the food intake each time to obtain the first weight value.
  • the preset time may be a time when the user dine, that is, a time period between when the user starts eating and when the meal ends.
  • the total weight of the meal can be determined.
  • the information obtaining device obtains a third weight value of the food intake each time, which may specifically include:
  • the information acquiring device acquires the first action feature value, that is, the action of holding the dish or the soup, and matches the first action feature value with the action feature value in the preset action database. If the first action feature value matches any action feature value in the preset action database, the information acquiring device acquires a current signal of the skin, and processes the current signal to obtain a signal threshold of the current signal. a value that determines a third weight value for each intake of the food based on the signal threshold.
  • the information acquisition device acquires a first current signal of the skin above the muscle of the user's arm; and amplifies the first current signal, and then filters the amplified first current signal to obtain a second current signal.
  • the information acquiring device performs analog-to-digital conversion on the second current signal to obtain a first digital signal, and filters the first digital signal to obtain a second digital signal, and then rectifies and acquires the second digital signal.
  • the information obtaining device searches the preset weight database for the third weight value corresponding to the signal threshold of the second digital signal, so that the weight of the user's food or the weight of the soup can be determined when the dish or the soup is served.
  • the information acquisition device can usually be worn at the thickest position of the arm, where the muscle tissue is the most developed, and the bioelectric signal is the strongest, which is more conducive to improving the recognition rate.
  • Step 103 The information obtaining device determines a total calorie value of the food intake according to the calorie value of the food unit weight and the first weight value.
  • the information acquisition device may determine the total calorie value of the food intake based on the total weight of the ingested food and the calorie value of the ingested food unit weight.
  • the information acquisition may determine the total calorie value of the food intake by multiplying the first weight value by the calorific value per unit weight.
  • the food intake is rice
  • the calorific value per unit weight of the rice is: 1.5 kcal per gram
  • the first weight value of the ingested rice is 100 g
  • the information obtaining method provided by the embodiment of the present invention can obtain the weight of the food by detecting the motion of the user, and obtain the human body to take the food according to the caloric value of the food unit weight and the first weight value of the ingested food. Total heat.
  • An embodiment of the present invention provides an information acquisition method. As shown in FIG. 2, the information acquisition method may include:
  • Step 201 The information acquiring device acquires voice information, and determines a name of the food according to the voice information.
  • the user sends the food to be eaten by the user to the information acquiring device, and the information acquiring device acquires the voice information.
  • the voice information can be obtained by setting a microphone in the information acquiring device.
  • the information acquisition device may analyze the voice information to obtain a food keyword, that is, a name of the food.
  • step 202 can be omitted, that is, without searching and pre-setting in the preset food database.
  • the name of the food corresponds to the calorific value of the unit weight of the food.
  • Step 202 The information acquiring device searches for a calorific value of the food unit weight corresponding to the name of the food in a preset food database.
  • Step 203 The information acquiring device acquires the first action feature value, and matches the first action feature value with the action feature value in the preset action database.
  • the user can wear the information acquisition device to the thickest position of the arm, where the muscle tissue is the most developed, and the bioelectric signal is the strongest, which is more conducive to improving the recognition rate.
  • the information acquiring device acquires the first action feature value, and matches the first action feature value with the action feature value in the preset action database.
  • a start action of a different action is preset, for example, a action of holding a dish, an action of drinking water, an action of drinking a soup, and the like, and the action is mapped into various configurable control commands and control commands.
  • the action feature value is extracted, and the preset action feature value is stored in the preset action database, and the pre-stored action feature value is used to indicate that the measurement of the action is started.
  • a muscle motion sensor can be provided in the information acquisition device, and the motion data of the arm can be obtained through the muscle motion sensor.
  • the muscle motion sensor may specifically include A three-axis acceleration sensor, a three-axis gyroscope that detects the frequency and amplitude of the swinging arm, grips or relaxes the movement of the hand muscles or lifts the food.
  • the sensor detects the electrical impulses produced by the muscles as well as the gestures made when moving the arm, and can determine the specific action of eating.
  • Step 204 If the first action feature value is successfully matched with any action feature value in the preset action database, the information acquiring device acquires the first current signal of the skin.
  • the information acquisition device starts measuring the action corresponding to the first action feature value.
  • the information acquisition device acquires a skin muscle current signal of the skin above the muscle, that is, a bioelectric current signal, which is a first current signal.
  • a skin muscle current signal of the skin above the muscle that is, a bioelectric current signal, which is a first current signal.
  • the epidermal muscle current signal of the skin above the muscle can be obtained through the differential electrode.
  • Step 205 The information acquiring device amplifies the first current signal, and filters the amplified first current signal to obtain a second current signal.
  • the information acquisition device amplifies the first current signal, and filters the amplified bio-current signal to remove an unrelated bio-current signal, that is, the amplified first current signal is concentrated and filtered to obtain a specific frequency, with an important The bioelectrical signal of the information, ie the second current signal.
  • Step 206 The information acquiring device performs analog-to-digital conversion on the second current signal to obtain a first digital signal.
  • the information acquisition device converts the second current signal into a first digital signal.
  • the characteristic curve of the second current signal can be converted into a first digital signal by time-multiplexing or an analog-to-digital conversion circuit unique to a single signal channel.
  • the first digital signal may include information such as the strength of the signal, the amplitude of the signal, the envelope of the signal, the frequency spectrum of the signal, the energy distribution of the signal, and the phase difference between the signal channels.
  • Step 207 The information acquiring device filters the first digital signal to obtain a second digital signal.
  • the information acquisition device digitally filters the first digital signal to remove the weight without The information is closed, and the second digital signal is obtained.
  • Step 208 The information acquiring device rectifies the second digital signal, and acquires a signal threshold of the second digital signal after rectification.
  • the information acquisition device performs rectification processing on the second digital signal. And performing windowing on the rectified second digital signal to obtain a signal threshold of the second digital signal.
  • Step 209 The information acquiring device searches for a third weight value corresponding to the signal threshold of the second digital signal in the preset weight database.
  • the correspondence between the signal threshold and the weight of the different second digital signals is pre-stored in the preset weight database.
  • the information acquiring means searches the preset weight database for the weight value corresponding to the signal threshold of the second digital signal as the first weight value.
  • Step 210 The information acquiring device adds the third weight value of the food intake each time to obtain the first weight value.
  • the information acquisition device acquires a third weight value of the food intake each time in a preset time period and adds the third weight value of the food intake each time to obtain the first weight value. It can be understood that the information acquisition device adds the weight of the food ingested by the user during the meal, and can determine the total weight of the food ingested at the meal, that is, the first weight value.
  • the preset time may be a time when the user dine, that is, a time period between when the user starts eating and when the meal ends.
  • Step 211 The information acquiring device determines a total calorie value of the food intake according to the calorie value of the food unit weight and the first weight value.
  • the information acquisition device may determine the total calorie value of the food intake based on the total weight of the ingested food and the calorie value of the ingested food unit weight.
  • the information acquisition may determine the total calorie value of the food intake by multiplying the first weight value by the calorific value per unit weight.
  • the information obtaining device may compare the data of the proportion of the meal of each meal of the user in the preset custom database, and assign the first weight value to the weight of each food according to the data of the ratio of the meal. Then, according to the calculation of various food calories stored in the preset food database, the calories of various foods are added to obtain the total calories of the ingested food.
  • the first weight value of the user's food intake is 600 grams
  • the data of the proportion of the meal of each meal of the user in the preset custom database includes: 200 grams of vegetables, 150 grams of rice, 150 grams of chicken, 100 grams of soup, Find the calorific value of vegetables, rice, chicken and soup in the preset food database, calculate the calories of various foods according to the weight value of each food and its calorie value, and then add the calories of various foods to get the food. Total heat.
  • the information acquisition device estimates the proportion of food per meal according to the learning mode, so the calorie intake value of the food per meal is not an exact value, and the accuracy of the ratio of the ingested food can be calibrated here. Calculation. If the user can determine the accurate intake weight of the food at the time of eating, the intake weight of the food can also be manually input in the information acquisition device, so that the accurate intake calorie value can be calculated.
  • Step 212 The information acquiring apparatus sends the first weight value and the total heat value to the terminal device.
  • the information acquisition device transmits the first weight value and the total heat value to the terminal device, so that the terminal device performs unified management on the first weight value and the total heat value.
  • the terminal device may be a mobile phone, a tablet computer, or the like.
  • the information obtaining method provided by the embodiment of the present invention can obtain the weight of the food by detecting the motion of the user, and obtain the human body to take the food according to the caloric value of the food unit weight and the first weight value of the ingested food. Total heat.
  • An embodiment of the present invention provides an information acquiring apparatus 1.
  • the information acquiring apparatus includes: a first acquiring unit 10, a first determining unit 11, a second acquiring unit 12, and a second determining unit 13, wherein ,
  • the first obtaining unit 10 is configured to obtain a name of the food
  • the first determining unit 11 is configured to determine a heat value of the food unit weight according to the name of the food;
  • the second obtaining unit 12 is configured to acquire a first weight value of the food intake
  • the second determining unit 13 is further configured to determine a total calorie value of the food intake according to the calorie value of the food unit weight and the first weight value.
  • the first determining unit 11 is further configured to search for a calorific value of the food unit weight corresponding to the name of the food in a preset food database.
  • the second obtaining unit 12 is configured to acquire a third weight value of the food intake each time in a preset time; and is further configured to use the third weight of the food each time the food is ingested The magnitudes are added to obtain the first weight value.
  • the second acquiring unit 12 is further configured to acquire a first action feature value
  • the first determining unit 11 is further configured to match the first action feature value with the action feature value in the preset action database.
  • the second obtaining unit 12 includes: a processing module 120, where
  • the second acquiring unit 12 is configured to acquire a first current signal of the skin if the first action feature value is successfully matched with any action feature value in the preset action database;
  • the processing module 120 is configured to process the current signal to obtain a signal threshold of the current signal
  • the first determining unit 11 is further configured to search for a third weight value corresponding to the signal threshold in the preset weight database.
  • the first obtaining unit 10 is further configured to acquire voice information, and determine a name of the food according to the voice information;
  • the first obtaining unit 10 is further configured to acquire picture information, according to the figure.
  • the slice information determines the name of the food.
  • the information acquiring apparatus further includes:
  • the wireless transmission unit 14 is configured to transmit the first weight value and the total heat value to the terminal device.
  • the user's motion can be acquired and determined by a three-axis acceleration sensor and a three-axis gyroscope, and the skin muscle current signal of the skin above the muscle is obtained through the differential electrode in the information acquisition device, that is, the first current signal passes through
  • the analog signal amplifier circuit extracts and amplifies the epidermal muscle current signal of the skin above the muscle, that is, amplifies the first current signal.
  • the analog filter circuit filters the amplified bio-current signal to remove the unrelated bio-current signal, and concentrates the amplified bio-current signal to obtain a bio-current signal with a specific frequency and an important information, that is, a second current signal.
  • An analog to digital conversion circuit converts the second current signal into a digital signal, ie, a first digital signal. That is, the characteristic curve of the second current signal is converted into a digital signal by time-division multiplexing or an analog-to-digital conversion circuit unique to a single signal channel.
  • the first digital signal may include information such as the strength of the signal, the amplitude of the signal, the envelope of the signal, the frequency spectrum of the signal, the energy distribution of the signal, and the phase difference and consistency between the signal channels.
  • a digital filtering circuit digitally filters the first digital signal to remove a weight-independent digital signal to obtain a second digital signal.
  • the information acquisition device may be a wrist wear device such as a wristband, a smart watch, or the like. If the information acquisition device is a wrist wear device, the three-axis acceleration sensor, the three-axis gyroscope, and the differential electrode can be mounted inside the wrist of the wrist wear device.
  • the information acquisition device provided by the embodiment of the present invention can be referred to the description of the information acquisition method in the first embodiment to the second embodiment.
  • the information acquiring device provided by the embodiment of the present invention can obtain the weight of the food by detecting the motion of the user, and can obtain the food intake by the human body according to the calorific value of the food unit weight and the first weight value of the ingested food. Total heat.
  • the embodiment of the present invention further provides a computer storage medium, where the computer storage medium stores computer executable instructions, where the computer executable instructions are used to execute at least one of the foregoing information acquisition methods, such as the information.
  • the acquisition method can be the method shown in FIG. 1 and/or FIG.
  • the computer storage medium may be a storage medium such as an optical disk, a hard disk, or a magnetic disk, and may be a non-transitory storage medium.
  • embodiments of the present invention can be provided as a method, system, or computer program product. Accordingly, the present invention can take the form of a hardware embodiment, a software embodiment, or a combination of software and hardware. Moreover, the invention can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) including computer usable program code.
  • the computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture comprising the instruction device.
  • the apparatus implements the functions specified in one or more blocks of a flow or a flow and/or block diagram of the flowchart.
  • These computer program instructions can also be loaded onto a computer or other programmable data processing device such that a series of operational steps are performed on a computer or other programmable device to produce computer-implemented processing for execution on a computer or other programmable device. Instructions are provided for implementation The steps of a function specified in a block or blocks of a flow or a flow and/or a block diagram of a flow chart.
  • the electronic device such as a mobile phone or a wearable device can be used to determine the heat of the food injected by the user after obtaining the name of the food and the first weight value, so that the user determines whether to continue eating or not.
  • the use of hardware and software resources of electronic devices has improved the resource utilization, intelligence and user satisfaction of electronic devices.

Landscapes

  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • Biomedical Technology (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Pathology (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Medical Treatment And Welfare Office Work (AREA)

Abstract

L'invention concerne un procédé d'acquisition d'informations, un appareil d'acquisition d'informations et un support de stockage informatique. L'appareil d'acquisition d'informations acquiert un nom d'aliment et détermine, en fonction du nom de l'aliment, une valeur calorique de l'aliment par unité de poids (101) ; acquiert une première valeur de poids pour l'absorption de l'aliment (102) ; et détermine, en fonction de la valeur calorique de l'aliment par unité de poids et de la première valeur de poids, une valeur calorique totale pour l'absorption de l'aliment (103).
PCT/CN2015/097446 2015-10-27 2015-12-15 Procédé et appareil d'acquisition d'informations, et support de stockage informatique Ceased WO2016184089A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201510706207.5 2015-10-27
CN201510706207.5A CN106650183A (zh) 2015-10-27 2015-10-27 一种信息获取方法和装置

Publications (1)

Publication Number Publication Date
WO2016184089A1 true WO2016184089A1 (fr) 2016-11-24

Family

ID=57319272

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2015/097446 Ceased WO2016184089A1 (fr) 2015-10-27 2015-12-15 Procédé et appareil d'acquisition d'informations, et support de stockage informatique

Country Status (2)

Country Link
CN (1) CN106650183A (fr)
WO (1) WO2016184089A1 (fr)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107315900B (zh) * 2017-05-12 2019-11-12 合肥美的智能科技有限公司 食品对用户健康影响的确定方法、处理器、装置及冰箱
CN107731278A (zh) * 2017-09-04 2018-02-23 广东数相智能科技有限公司 一种食物识别方法、营养健康分析方法、系统及装置
CN111368676A (zh) * 2020-02-26 2020-07-03 上海幂方电子科技有限公司 一种数据采集方法、设备及计算机可读存储介质

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100109876A1 (en) * 2008-11-04 2010-05-06 Schmid-Schonbein Geert W Devices, Systems and Methods to Control Caloric Intake
CN102799786A (zh) * 2012-07-25 2012-11-28 黄鹏 一种基于物联网的人体健康监控系统及其监控方法
US20130091454A1 (en) * 2011-10-06 2013-04-11 Eduard Papa Physical Health Application and Method for Implementation
CN103310092A (zh) * 2013-03-26 2013-09-18 Tcl集团股份有限公司 健康照护管理系统及方法
CN104881590A (zh) * 2015-06-23 2015-09-02 上海斐讯数据通信技术有限公司 一种基于移动设备测算食物摄入热量的方法及系统
CN105208114A (zh) * 2015-08-31 2015-12-30 广东欧珀移动通信有限公司 一种提醒的方法及终端

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100109876A1 (en) * 2008-11-04 2010-05-06 Schmid-Schonbein Geert W Devices, Systems and Methods to Control Caloric Intake
US20130091454A1 (en) * 2011-10-06 2013-04-11 Eduard Papa Physical Health Application and Method for Implementation
CN102799786A (zh) * 2012-07-25 2012-11-28 黄鹏 一种基于物联网的人体健康监控系统及其监控方法
CN103310092A (zh) * 2013-03-26 2013-09-18 Tcl集团股份有限公司 健康照护管理系统及方法
CN104881590A (zh) * 2015-06-23 2015-09-02 上海斐讯数据通信技术有限公司 一种基于移动设备测算食物摄入热量的方法及系统
CN105208114A (zh) * 2015-08-31 2015-12-30 广东欧珀移动通信有限公司 一种提醒的方法及终端

Also Published As

Publication number Publication date
CN106650183A (zh) 2017-05-10

Similar Documents

Publication Publication Date Title
US12150778B2 (en) Method and apparatus for providing biofeedback during meditation exercise
Dong et al. Detecting periods of eating during free-living by tracking wrist motion
Papapanagiotou et al. A novel chewing detection system based on PPG, audio, and accelerometry
Mirtchouk et al. Recognizing eating from body-worn sensors: Combining free-living and laboratory data
Kalantarian et al. Monitoring eating habits using a piezoelectric sensor-based necklace
Kalantarian et al. A survey of diet monitoring technology
Kalantarian et al. A wearable nutrition monitoring system
Shen et al. Assessing the accuracy of a wrist motion tracking method for counting bites across demographic and food variables
Suganyadevi et al. An IoT‐based diet monitoring healthcare system for women
AU2021286646B2 (en) Wearable infection monitor
US20150126873A1 (en) Wearable Spectroscopy Sensor to Measure Food Consumption
US20140349257A1 (en) Smart Watch and Food Utensil for Monitoring Food Consumption
US10524676B2 (en) Apparatus and method for determining a health parameter of a subject
WO2016038585A1 (fr) Dispositifs portables et procédés de mesure d'un apport nutritionnel
EP4140402A1 (fr) Procédé de mesure de pression artérielle et dispositif électronique
US20220183569A1 (en) Blood Pressure Assessment Using Features Extracted Through Deep Learning
JP7131904B2 (ja) 生活習慣管理装置、方法およびプログラム
US20170146389A1 (en) Scale-based biometric authorization of multiple communication modes of the scale
Hussain et al. Food intake detection and classification using a necklace-type piezoelectric wearable sensor system
EP3387989A1 (fr) Procédé et appareil permettant de surveiller un sujet
WO2016184089A1 (fr) Procédé et appareil d'acquisition d'informations, et support de stockage informatique
WO2024054930A1 (fr) Accompagnement basé sur des phases de reproduction
WO2016185931A1 (fr) Dispositif de mesure d'informations biologiques
JP6992505B2 (ja) 情報処理装置、方法及びプログラム
Eskandari Bite detection and differentiation using templates of wrist motion

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 15892463

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 15892463

Country of ref document: EP

Kind code of ref document: A1