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WO2017222100A1 - Dispositif de mesure de composition corporelle et serveur pour compenser un résultat de mesure de composition corporelle - Google Patents

Dispositif de mesure de composition corporelle et serveur pour compenser un résultat de mesure de composition corporelle Download PDF

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Publication number
WO2017222100A1
WO2017222100A1 PCT/KR2016/006924 KR2016006924W WO2017222100A1 WO 2017222100 A1 WO2017222100 A1 WO 2017222100A1 KR 2016006924 W KR2016006924 W KR 2016006924W WO 2017222100 A1 WO2017222100 A1 WO 2017222100A1
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WO
WIPO (PCT)
Prior art keywords
user
image
information
body composition
correction
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/KR2016/006924
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English (en)
Korean (ko)
Inventor
이우재
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Selvas Healthcare Inc
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Selvas Healthcare Inc
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Ceased legal-status Critical Current

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    • 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
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/63—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
    • 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
    • A61B5/4869—Determining body composition
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves
    • A61B5/053—Measuring electrical impedance or conductance of a portion of the body
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves
    • A61B5/053—Measuring electrical impedance or conductance of a portion of the body
    • A61B5/0537—Measuring body composition by impedance, e.g. tissue hydration or fat content
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/74—Details of notification to user or communication with user or patient; User input means
    • A61B5/742—Details of notification to user or communication with user or patient; User input means using visual displays
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/74—Details of notification to user or communication with user or patient; User input means
    • A61B5/7475—User input or interface means, e.g. keyboard, pointing device, joystick
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/22—Social work or social welfare, e.g. community support activities or counselling services
    • 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
    • G16H30/00—ICT specially adapted for the handling or processing of medical images
    • G16H30/40—ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
    • 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
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • 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 disclosure relates to a body composition measuring apparatus, and more particularly, to a body composition measuring apparatus and a server for correcting a body component measuring result.
  • KR20020067687 (2002-08-23) discloses a method and apparatus for measuring the distribution of body fat. Specifically, the thickness of the subcutaneous fat of the abdomen is measured, and a feature using the method of calculating the area of the subcutaneous fat is presented.
  • the present disclosure was devised in response to the above-described background, and is to ensure the accuracy of the measurement result of the body composition measuring apparatus.
  • the body composition measuring apparatus may include a transmission / reception module configured to receive correction information from at least one of two or more electrodes, a server, and a user terminal for measuring impedance of at least a part of a user's body, and the user information, wherein the user information includes an age and a weight of the user.
  • a biometric information generation module configured to generate correction body composition information based on the impedance and the correction information, wherein the correction information is a user image; And an image comprising a body of-including a correction value such that the body shape of the user on the body is reflected in the generation of the corrected body composition information, and based on the difference between the standard image and the user image with respect to the user's body. Can be generated in at least one of the user terminal The.
  • the difference between the standard image and the user image with respect to the user's body is the area ratio of each body part on the user image determined through image processing to calculate the area ratio of the body part to the whole body on the user image. And the area ratio of each body part on the standard image may be determined.
  • image processing is performed wherein the difference between the standard image and the user image relative to the user's body is such that the length of the highest and lowest points of the body on the user image is equal to the length of the highest and lowest points of the body on the standard image.
  • the length of each body part on the user image and the length of each body part on the standard image may be determined.
  • the canonical image may be determined based on the user information.
  • the biometric information generating module additionally generates body composition information based on the user information and the impedance
  • the transmitting and receiving module additionally transmits the body composition information to at least one of the server and the user terminal
  • the standard image May be determined based on the user information and the body composition information.
  • the standard image is a standard body image for expressing an average body shape based on the user information, and the standard body image is for at least one of an area ratio of each body part and a length of each body part relative to the whole body. May contain information.
  • the user image may include a photographed image including the body of the user, or a user body image reflecting a user's edit to express the body shape of the user based on the standard image.
  • a body composition measuring apparatus includes two or more electrodes for measuring impedance of at least a portion of a user's body, user information, the user information including at least one of age, weight, height, and gender of the user;
  • a biometric information generation module for generating correction body composition information based on the correction information, an image input module receiving a user image including a user's body, and a correction value such that the user's body shape on the user image is reflected in the generation of the correction body composition information
  • a correction information generation module configured to generate correction information generated based on a difference between the standard image and the user image.
  • a body composition measuring apparatus includes two or more electrodes for measuring impedance of at least a portion of a user's body, user information, the user information including at least one of age, weight, height, and gender of the user;
  • a biometric information generation module for generating correction body composition information based on the correction information
  • a user input module for receiving a user's edit for expressing the user's body shape based on a standard image, and the edit of the user based on the standard image
  • To generate the corrected information Information may include information generation module.
  • a user terminal is disclosed in accordance with one embodiment of the present disclosure.
  • the user terminal receives a user image and user information about the body of the user from the user, wherein the user information includes at least one of the age, weight, height and gender of the user, the user on the user image
  • a correction information for including a correction value for reflecting the body shape in the generation of the correction body composition information the correction information generating unit generating the correction information generated based on the difference between the user image and the standard image, and transmitting the correction information to the body composition measuring apparatus. It may include a transmitter.
  • a server receives a user image and user information about the body of the user from one of the body composition measuring device and the user terminal, the user information includes at least one of the age, weight, height and gender of the user
  • a correction information generation unit including a correction value for reflecting a user's body shape on the user image in generation of correction body composition information, and generating correction information generated based on a difference between the user image and the standard image; It may include a transmitting unit for transmitting to the body composition measuring apparatus.
  • the receiving unit may further include a user input module configured to receive a user's edit for expressing the user's body type based on the standard image, wherein the user image is edited based on the standard image. And a reflected user body image, and the correction information generator may generate the correction information based on a difference between the user body image and the standard image.
  • the present disclosure can ensure the accuracy of the measurement results of the body composition measuring device.
  • FIG. 1 is a block diagram of a server according to an embodiment of the present disclosure.
  • FIG. 2 illustrates a relationship between correction information, a standard image, and a user image, according to an exemplary embodiment.
  • FIG 3 illustrates an example diagram for image processing in accordance with one embodiment of the present disclosure.
  • FIG 4 illustrates an example diagram for image processing according to another embodiment of the present disclosure.
  • FIG 5 is an exemplary view of a user body image according to an embodiment of the present disclosure.
  • FIG. 6 is a block diagram illustrating a body composition measuring apparatus according to an embodiment of the present disclosure.
  • FIG 7 illustrates generation of body composition information 200 and correction body component information 300 according to an embodiment of the present disclosure.
  • FIG. 8 is a block diagram illustrating a body composition measuring apparatus according to another embodiment of the present disclosure.
  • FIG. 9 is a block diagram of a body composition measuring apparatus according to another embodiment of the present disclosure.
  • FIG 10 illustrates an example system in which various aspects may be implemented in accordance with one embodiment of the present disclosure.
  • a component may be, but is not limited to being, a process running on a processor, a processor, an object, an thread of execution, a program, and / or a computer.
  • an application running on a computing device and the computing device can be a component.
  • One or more components can reside within a processor and / or thread of execution, and a component can be localized within one computer or distributed between two or more computers.
  • these components can execute from various computer readable media having various data structures stored thereon.
  • the components may for example be signals having one or more data packets (e.g., data from one component interacting with another component in a local system, distributed system, and / or data via a network such as the other system and the internet via signals and / or signals). May communicate via local and / or remote processes.
  • data packets e.g., data from one component interacting with another component in a local system, distributed system, and / or data via a network such as the other system and the internet via signals and / or signals. May communicate via local and / or remote processes.
  • FIG. 1 is a block diagram of a server according to an embodiment of the present disclosure.
  • the server 900 may include a receiver 910, a correction information generator 930, and a transmitter 950.
  • the receiver 910 may receive a user image 330 and user information 352 of a user's body from one of the body composition measuring apparatus 100 and the user terminal 700.
  • the user image 330 may include a photographed image 331 including a user's body, or a user body image 332 reflecting a user's edit to express a user's body based on a standard image. It may include.
  • the receiver 910 may receive a captured image 331 captured or stored in the user terminal from one of the body composition measuring apparatus 100 and the user terminal 700.
  • the photographed image may be a user image 330 in which a body shape of the user is expressed, including a part or the entire body of the user.
  • the user image may be a photographed image 331 stored on the server 900 through a network connected to the user terminal.
  • the user image 330 may include a user body image 332.
  • the receiving unit 910 may further include a user input module 911 that receives an edit of a user for generating the user body image 332. Details of the aforementioned user body image and the user input module will be described later in the detailed description with reference to FIG. 5.
  • the user information 352 may include at least one information of the age, weight, height, and gender of the user.
  • the user's age, gender, weight, height (height), race, frequency impedance measurements, body parts impedance measurements, body fat mass, muscle mass, inorganic mass, body mass, body circumference (abdomen, waist, hips, etc.) Specific areas), eating habits, exercise habits, lifestyle, medical history, ingested food, exercise information performed and information related to at least one or more of the amount of activity may be included.
  • the user information 352 may be received by the receiver 910 from one of the body composition measuring apparatus 100 and the user terminal 700.
  • the user information may be information stored on the body composition measuring device.
  • the user information may be information received from a user through a user information input module (not shown) of the body composition measuring apparatus 100.
  • the above description of the source of the user information is only an example, and the present disclosure is not limited thereto.
  • the user information 352 may be stored on the user terminal 700 or may be information received from a user.
  • the receiver 910 may receive the body composition information 200 from the body composition measuring apparatus 100.
  • the body composition information may be body composition information generated by the body composition measuring apparatus 100 based on the user information 352 and the impedance 351 measured on at least a portion of the body of the user.
  • the correction information generator 930 may generate correction information based on the difference between the user image 330 and the standard image 310.
  • the correction information 350 may include a correction value for reflecting the user's body shape on the user image in the generation of the correction body composition information.
  • the correction body composition information may be configured to be generated on the body composition measuring apparatus 100 based on the impedance 351, the user information 352, and the correction information 350. Generation of the corrected body composition information and reflection of the correction value will be described later with reference to FIG. 7.
  • the correction information generator 930 may store the standard image 310.
  • the standard image may include numerical / statistical and visual data for expressing a standard body shape.
  • the standard image is described later in the detailed description of FIG. 2.
  • the transmitter 950 may transmit the correction information 350 generated by the correction information generator 930 to the body composition measuring apparatus 100. More specifically, the transmitter 950 according to an embodiment of the present disclosure may receive correction information from the correction information generator. The transmitter 950 may transmit correction information to the body composition measuring apparatus 100 through a network.
  • FIG. 2 illustrates a relationship between correction information, a standard image, and a user image, according to an exemplary embodiment.
  • the correction information 350 may be generated in at least one of the server 900 and the user terminal 700 based on the difference between the standard image and the user image.
  • the standard image 310 may be determined based on the user information 352 received by the receiver 910.
  • the standard image 310 may include an area ratio 311 for each body part and a length 312 for each body part to express a standard body type grouped by each user information 352.
  • the standard image 310 may include information about a group corresponding to or similar to the user information 352 among numerical / statistical and visual data (eg, perimeter length and ratio for each body part) capable of expressing a standard body shape. .
  • the correction information generator 930 is user information of 30s and male.
  • the average body shape (waist circumference, thigh circumference, height and weight, etc.) of most people in the same group can be determined statistically.
  • the numerical standard image may be generated to represent the determined average body shape. The detailed description of the standard image determination based on the user information described above is merely an example, and the present disclosure is not limited thereto.
  • operations of the receiver 910 and the correction information generator 930 of the server may be performed by the receiver 710 and the correction information generator 730 of the user terminal according to another exemplary embodiment of the present disclosure.
  • the standard image 310 may be determined based on the user information 352 and the body composition information 200. More specifically, the receiver 910 of the server may receive the body composition information 200 from the body composition measuring apparatus 100. The body composition information may be generated by the body composition measuring apparatus 100 based on the impedance 351 and the user information 352 measured by at least a part of the user's body.
  • the body composition information 200 received by the receiver 910 of the server from the body composition measuring apparatus 100 includes 5% body fat percentage
  • the user information received from the user terminal 700 is (20s, male, Health information)
  • the correction information generator 930 may determine a standard model having the most similar items based on the user information and body composition information.
  • a visual standard image eg, a muscular mannequin character
  • a visual standard image can be generated to represent the average body shape (height, shoulder circumference, chest circumference, and the ratio of the area of the upper body and the lower body, etc.) according to the standard model.
  • the detailed description of the determination of the standard image based on the user information and the body composition information described above is merely an example, and the present disclosure is not limited thereto.
  • operations of the receiver 910 and the correction information generator 930 of the server may be performed by the receiver 710 and the correction information generator 730 of the user terminal according to another exemplary embodiment of the present disclosure.
  • FIG 3 illustrates an example diagram for image processing in accordance with one embodiment of the present disclosure.
  • the server 900 may perform image processing such that the stretch on the user image 330 and the stretch on the standard image 310 are the same.
  • correction information generation unit 930 of the server The operation of the correction information generation unit described below is performed by the correction information generation unit 930 of the server, the correction information generation unit 730 of the user terminal, and the correction information generation module of the body composition measuring apparatus according to another embodiment of the present disclosure. 190).
  • the correction information generator 930 may determine the standard image 310 based on the user information 352 or the user information 352 and the body composition information 200.
  • the correction information generator 930 may determine the highest point in the vertical direction and the lowest point in the vertical direction of the body on the standard image based on the determined standard image. Accordingly, the correction information generation unit may determine the length of the straight line connecting the highest point and the lowest point as the extension.
  • the correction information generator 930 may receive the user image 330 from the receiver 910.
  • the user image may be a captured image 331 or a user body image 332 and may include a visual image of a user's body.
  • the correction information generator 930 may determine the highest point and the lowest point in the body on the user image.
  • the correction information generator 930 may determine the height of the body on the user image 330 through the highest point and the lowest point. Accordingly, the correction information generator 930 may compare the height on the user image 330 with the height on the standard image 310.
  • the correction information generation unit 930 may perform image processing to make the stretch on the two images the same based on the comparison result.
  • the image processing may be an operation of enlarging or reducing at least one of the user image 330 and the standard image 310 such that the kidneys are the same based on the comparison result of the kidneys.
  • the correction information generation unit can compare with the standard image regardless of the body size expressed on the user image of the same height.
  • the correction information generator 930 may consider the hair of the body when determining the highest point of the body on the user image 330. More specifically, the correction information generator may determine the high point of the forehead of the average body shape based on the standard image 310. Here, the high point of the forehead may be the boundary between the face and the scalp where, on average, hair starts to form in the head. The correction information generator may consider the high point as the highest point of the body in the standard image, and the correction information generator 930 may determine the high point of the forehead of the body on the user image 330. For example, the correction information generator may determine a top pixel composed of an average body color (eg, yellow) in the user image as a high point of the forehead of the body.
  • an average body color eg, yellow
  • the correction information generation unit may consider the high point of the forehead as the highest point on the user image.
  • the description of the method for obtaining the forehead high point in the body on the user image described above is merely an example, and the present disclosure is not limited thereto. Accordingly, the correction information generator 930 may perform image processing such that the height on the standard image and the height on the user image are the same regardless of the shape of the hair on the body on the user image.
  • the correction information generator may determine a difference by comparing the length of each body part on the user image 330 with the length of each body part on the standard image 310.
  • the correction information generator 930 may make the body on the standard image and the body on the user image the same length, that is, the same height through image processing.
  • the correction information generation unit may compare the length of each part of the body on the standard image and the user image.
  • the length of each part of the body may be a length between main components of the body.
  • the correction information generator may determine the length of the middle arm and the middle end of the shoulder, elbow and palm of the body on the standard image 310 as the length of the standard arm 11.
  • the correction information generator may determine the length 21 of the user's arm as the length connecting the end of the middle point and the middle of the shoulder, elbow, palm of the body on the user image. Accordingly, the correction information generation unit may compare the length of the standard arm and the length of the user arm to determine whether the user's arm is longer or shorter than the arm of the standard body shape on the standard image and differs in proportion.
  • the body length measuring method and the body points on the above-described image are examples only, and the present disclosure is not limited thereto.
  • the correction information generator may cover the frame of the plaid in the standard image and the user image, and determine the number of corresponding one-way plaids for each body part as the length.
  • FIG 4 illustrates an example diagram for image processing according to another embodiment of the present disclosure.
  • the correction information generator 930 may perform image processing to determine an area of the entire body, that is, the whole body, on the user image 330 and the standard image.
  • the correction information generation unit may calculate the area for each body part relative to the whole body area. Accordingly, the correction information generator may determine the area ratio 311 for each body part.
  • correction information generation unit 930 of the server The operation of the correction information generation unit described below is performed by the correction information generation unit 930 of the server, the correction information generation unit 730 of the user terminal, and the correction information generation module of the body composition measuring apparatus according to another embodiment of the present disclosure. 190).
  • the correction information generator 930 may determine a visual image of the standard image 310 based on the user information 352 or the user information 352 and the body composition information 200.
  • the correction information generator 930 may determine the outline of the body on the standard image based on the determined standard image. Accordingly, the correction information generation unit may determine the area of the figure composed of the outer lines as a standard whole body area.
  • the correction information generator determines an area for each part of the body on the standard image, and divides the area for each part by the whole body area to determine an area ratio 311 of each body part to the whole body area.
  • the correction information generator 930 may receive the user image 330 from the receiver 910. The correction information generator may determine the area ratio 311 for each body part on the user image 330 as described above.
  • the correction information generator 930 may compare the area ratio 311 for each body part on the user image 330 with the area ratio for each body part on the standard image 310.
  • the correction information generator 930 may generate the correction information 350 based on the comparison result, that is, the difference.
  • the above description of the method for determining the area ratio for each body part is merely an example, and the present disclosure is not limited thereto.
  • the correction information generator may determine an area by dividing a body on a standard image and a user image for each part. More specifically, the correction information generator 930 may distinguish each part of the body on the standard image.
  • the correction information generation unit 930 is the upper body consisting of both arms 31 and the torso 32 from the neck to the waist, the lower body 33 from the waist down to the tip of the body on the standard image 310 It can be divided into the configuration.
  • the correction information generation unit 930 may divide the body on the user image 330 to be the same as the configuration of the standard image.
  • the above description of the configuration of the part of the body and the numerical value of the area ratio are merely exemplary, and the present disclosure is not limited thereto.
  • the correction information generator 930 may be considered based on clothes and accessories worn by the body.
  • the clothing worn by the body on the user image is a pants including a waist band
  • the correction information generator may determine the lower part of the band as the lower body 43 and the upper part of the band as the upper body.
  • the user image may include a body wearing clothing including a body dividing line (eg, a T-shirt with a shoulder line separated).
  • the correction information generator 930 may classify the respective body parts based on the dividing line.
  • the description of the body classification method in the above-described user image is only an example, and the present disclosure is not limited thereto.
  • the receiver 910 may receive a guideline for division of a body from a user and provide the guideline to the correction information generator.
  • FIG 5 is an exemplary view of a user body image according to an embodiment of the present disclosure.
  • the receiver 910 may further include a user input module 911 that receives an edit of a user for expressing the user's body type based on the standard image 310.
  • the user input module may be configured to be connected to the user terminal 700 or the body composition measuring apparatus 100 by a wired / wireless network.
  • the server 900 may be configured to allow a user to directly input user edits.
  • operations of the user input module described below may be performed by the user input module 911 of the server, the user input module 711 of the user terminal, and the user input module 180 of the body composition measuring apparatus according to another embodiment of the present disclosure. May be performed in at least one of
  • the user input module 911 may be configured to receive a user's edit on the standard image.
  • the editing 340 of the user may include a modification to make the user's body shape similar to the standard image 310 provided visually or numerically.
  • various modifications can be considered, such as correction of body values, enlargement of each body part, and coloring of parts considered to have a lot of muscles.
  • the user input module 911 may generate a user body image 332 in which the edit of the input user is reflected in the standard image.
  • FIG. 5 shows by way of example a user terminal 700 for receiving an edit 340 of a user from a user.
  • the user terminal 700 is an exemplary device for receiving an edit 340 of the user, and the present disclosure is not limited thereto.
  • the user body image 332 may be based on the standard image 310. More specifically, the user body image 332 before receiving the user's edit 340 from the user may be a standard image 310. That is, in the example, the basic image initially displayed on the user terminal 700 may be a standard image. Therefore, when the user input module 911 does not receive any user edit 340, the correction information generator 930 may use the standard image as the user image 330. In addition, when the user input module 911 receives the edit 340 of the user, the user input module may generate the user body image 332 based on the received edited content and the standard image 310. In this case, the correction information generator 930 may be provided from the receiver 910 to determine the user body image as the user image 330.
  • FIG. 6 is a block diagram illustrating a body composition measuring apparatus according to an embodiment of the present disclosure.
  • the body composition measuring apparatus 100 may include an electrode 110, a biometric information generating module 130, and a transmission / reception module 150.
  • the electrode 110 may be configured with two or more to measure the impedance by applying a current to at least a portion of the user's body.
  • the electrode may provide the measured impedance 351 to the biometric information generating module 130.
  • the electrode 110 may be arranged to be in contact with at least a portion of the user's body.
  • the electrode may apply a current having a constant frequency to at least a part of the user's body.
  • the electrode may measure the impedance 351 of at least a part of the user's body.
  • the electrode 110 is a left voltage electrode disposed on the body composition measuring apparatus 100 so as to be in contact with the left wrist, a right voltage electrode to which the two fingers of the left current electrode and the right hand may contact each other. It may be composed of a current electrode.
  • the electrode 110 may apply a current having a frequency of 50 kHz to the left current electrode of the left wrist. The current may return to the right current electrode of the right hand via the left wrist, left arm, torso, right arm and right wrist.
  • the electrode 110 measures the voltage difference between the left voltage electrode of the left wrist and the right voltage electrode of the right hand when a 50 kHz current flows to measure the impedance 351 of both arms and the trunk of the user's body. It can be measured. Arrangement and operation of the electrode 110 is only a detailed example, and the present disclosure is not limited thereto.
  • the electrode 110 is composed of four or more, and may apply a voltage having a plurality of frequencies to the user. More specifically, the electrode 110 may be configured of a plurality of current electrodes and voltage electrodes, and may conduct current having various frequencies. In addition, the impedance 351 of at least a part of the user's body corresponding to various frequencies may be measured.
  • the biometric information generating module 130 may generate the corrected body composition information 300 based on the impedance 351, the user information 352, and the correction information 350.
  • the corrected body composition information 300 may include at least one of body weight, body water quantity, intracellular water content, extracellular water content, body mass index, body fat amount, muscle mass, and skeletal muscle mass, but the present disclosure is not limited thereto.
  • the correction body composition information 300 may further include various information not described, such as the amount of protein and the inorganic mass. The generation of the correction body composition information will be described later with reference to FIG. 7.
  • the biometric information generating module 130 may generate the body composition information 200 based on the impedance 351 and the user information 352.
  • the body composition information 200 may be generated except for correction information for reflecting the body shape of the user.
  • the biometric information generation module 130 may obtain the body composition information 200 having a body fat percentage of 25%. Can be generated.
  • the description of the method and the numerical value for generating the body composition information based on the above-described user information and impedance is merely an example, and the present disclosure is not limited thereto.
  • the transmission / reception module 150 may receive the correction information 350 from at least one of the server 900 and the user terminal 700. More specifically, the transmission / reception module 150 may receive correction information through direct communication with a user terminal or server 900 or through a network (see FIG. 10).
  • the transmission and reception module 150 may further receive user information from at least one of a server and a user terminal.
  • the user information 352 may be information stored on the user terminal 700.
  • the user information may be information received from a user through a user information input module (not shown) of the user terminal.
  • the above description of the source of the user information is only an example, and the present disclosure is not limited thereto.
  • the user information 352 according to another embodiment of the present disclosure may be stored on the body composition measuring apparatus 100 or may be input from a user through a user information input module (not shown) of the body composition measuring apparatus. have.
  • the transmission / reception module 150 may transmit the body composition information to at least one of the server 900 and the user terminal when the biometric information generating module 130 generates the body composition information 200. .
  • FIG. 7 illustrates generation of body composition information 200 and correction body component information 300 according to an embodiment of the present disclosure. Since the description of the generation of the body composition information has been described above with reference to FIG. 6, it will be omitted.
  • the biometric information generating module 130 may generate the corrected body composition information 300 based on the impedance, the user information, and the correction information 350.
  • the biometric information generating module 130 corrects the body component information 200 by reflecting the correction information 350.
  • Body composition information 300 may be generated.
  • the correction information 350 may include a correction value for reflecting the user's body shape in the correction body composition information 300.
  • the correction information is generated in at least one of the server 900 and the user terminal 700 based on a difference between the standard image 310 and the user image 330 (see detailed description of FIGS. 2, 3, and 4). Can be.
  • the correction value according to the exemplary embodiment of the present disclosure may include a body component information 200 or a numerical value that may be calculated on the impedance 351 based on the generation of the body component information. More specifically, the correction value may be a numerical value configured to add or subtract the item in association with at least some of the items included in the body composition information. In addition, the correction value may be a value configured to be calculated with the impedance 351 before the body composition information 200 is generated so as to add or subtract the impedance.
  • the generation of the correction body composition information 300 performed through the operations of the body composition measuring apparatus 100, the user terminal 700, and the server 900 according to an embodiment of the present disclosure described below is merely a detailed example, and the present disclosure is provided. Is not limited thereto.
  • the body composition measuring apparatus according to another embodiment of the present disclosure may generate corrected body component information without using a server and a user terminal.
  • the biometric information generation module 130 may generate the body composition information 200 including an item of 15% body fat percentage based on the impedance 351 of 700 ⁇ and the user information 352 of (25 years old, male). Can be.
  • the server 900 may receive the user information 352 and the user image 330 through the receiver 910.
  • the correction information generator 930 may determine the standard image 310 based on the user information (25 years old, male).
  • the correction information generation unit 930 compares the area ratio 311 of the body parts of each of the standard image and the user image, and indicates that the user has a 10% higher area ratio of the torso and arm than the standard body shape. The difference can be obtained.
  • the correction information generation unit 930 may derive the result that the user is upper body obesity based on the difference between the obtained area ratio, and may generate the correction information 350 including a correction value of body fat percentage + 3%.
  • the transmitter 950 of the server may transmit the correction information to the body composition measuring apparatus 100.
  • the transmission / reception module 150 of the body composition measuring apparatus 100 may receive correction information and provide it to the biometric information generation module 130.
  • the biometric information generating module may perform an operation of adding a correction value of body fat percentage + 3% to body composition information including an item of the body fat percentage 15%.
  • the correction information generation unit may generate the correction body composition information 300 including an item of 18% body fat percentage.
  • the body composition measurement according to an embodiment of the present disclosure provides a simple and intuitive way to generate body composition information through images of body shape characteristics such as lower body obesity and upper body muscle overload, which cannot be considered only by the impedance 351 and simple user information 352. It may be reflected to have an effect of providing more accurate body composition information. In addition, it may be reflected in the generation of body composition information through a user image including a body part which cannot be measured by a simple body composition measuring apparatus such as a wearable device. In addition, there may be an effect that the accuracy and reliability of the body composition information generated accordingly may be ensured.
  • FIG. 8 is a block diagram illustrating a body composition measuring apparatus according to another embodiment of the present disclosure.
  • the apparatus 100 for measuring body composition includes an electrode 110, a biometric information generating module 130, a transmission / reception module 150, an image input module 170, and a correction information generating module 190. It may include.
  • a detailed description of the electrode, the biometric information generating module, and the transmitting / receiving module has been described above with reference to FIG. 6, and the description of the image input module 170 and the correction information generating module 190 will be described below.
  • the image input module 170 may be provided with a user image 330 including a user's body. More specifically, the image input module 170 may receive the user image 330 through at least one of direct input from the server 900, the user terminal 700, and the user. For example, the image input module 170 may receive the captured image 331 stored on the user terminal from the user terminal 700 via Bluetooth. Also, the image input module 170 may receive the user body image 332 generated by the server 900 connected to the image input module 170.
  • the above description of the user image receiving method of the image input module is merely an example, and the present disclosure is not limited thereto.
  • the correction information generating module 190 may generate the correction information 350 based on the difference between the standard image 310 and the user image 330.
  • the correction information 350 may include a correction value for reflecting the user's body shape on the user image in the generation of the correction body composition information.
  • the correction information generating module 190 may determine a standard image based on the user information 352 received by the transmission / reception module 150.
  • the standard image 310 may include an area ratio 311 for each body part and a length 312 for each body part so as to express a standard body type grouped by each user information 352.
  • the correction information generation module 190 may store numerical / statistical and visual data (eg, circumference length and ratio for each body part) that can express a standard body shape. In addition, the correction information generating module 190 may determine information on a group corresponding to or similar to the user information among stored data as a standard image.
  • the correction information generating module 190 is applied to user information of 60's and woman. Based on this, the average body shape (waist circumference, thigh circumference, height and weight, etc.) of the largest number of people in the same group can be statistically determined. In addition, the determined average body shape data may be expressed as a visual standard image.
  • the standard image determination of the above-described correction information generation module is merely an example, and the present disclosure is not limited thereto.
  • correction information generation module may determine a standard image based on the body composition information 200 and the user information 352 generated by the biometric information generation module 130.
  • the biometric information generating module 130 may generate the body composition information 200 based on the user information of (20s, male, black) and the impedance 351 of the user's body.
  • the body composition information may include an item of 5% body fat percentage.
  • the correction information generating module 190 may determine a standard image based on the user information (20s, male, black) and body composition percentage 5% body fat.
  • the standard image 310 may be a visual mannequin for expressing an inverted triangle body shape based on a low body fat rate of 5% having a length 312 for each body part longer than a yellow man based on user information of black.
  • the detailed description of the determination of the standard image based on the user information and the body composition information described above is merely an example, and the present disclosure is not limited thereto.
  • correction information 350 The generation of the correction information 350 and the generation of the correction body composition information 300 of the correction information generating module 190 according to an embodiment of the present disclosure will be described below with reference to FIGS. 3, 4, and 7.
  • the body composition measuring apparatus 100 may generate corrected body component information.
  • the body composition measurement according to an embodiment of the present disclosure provides a simple and intuitive way to generate body composition information through images of body shape characteristics such as lower body obesity and upper body muscle overload, which cannot be considered only by the impedance 351 and simple user information 352. It may be reflected to have an effect of providing more accurate body composition information. In addition, it may be reflected in the generation of body composition information through a user image including a body part which cannot be measured by a simple body composition measuring apparatus such as a wearable device. In addition, there may be an effect that the accuracy and reliability of the body composition information generated accordingly may be ensured.
  • the body composition measuring apparatus may directly receive a user image, and correction information and corrected body composition information may be generated on the body composition measuring apparatus 100. Therefore, even when communication with another device or server is difficult due to a network error, etc., correction body composition information can be generated.
  • FIG. 9 is a block diagram of a body composition measuring apparatus according to another embodiment of the present disclosure.
  • the body composition measuring apparatus 100 may include an electrode 110, a biometric information generating module 130, a user input module 180, and a correction information generating module 190. Since the description of the electrode, the biometric information generating module, and the correction information generating module has been described above with reference to the previous drawings, the description of the user input module will be described below.
  • the user input module 180 may be configured to receive the user's edit 340 for expressing the user's body type based on the standard image. More specifically, the user input module 180 may be configured to display the standard image 310 to the user.
  • the user input module may include a touch screen. Accordingly, the user input module may display numerical / statistical and visual data of a standard image to a user through a touch screen.
  • the user input module may receive the user's edit 340 to reflect the user's body type through the touch screen. Accordingly, the user input module 180 may generate a user body image 332 based on the standard image and reflects the edit of the user.
  • the user's body image generation through the above-described touch screen is only an example, and the present disclosure is not limited thereto.
  • the user input module may include a touch screen, and the user degree may be 20s, a male, a soccer player.
  • the user input module 180 may display a human body proportionality diagram of Leonardo da Vinci corresponding to the standard image 310 on the touch screen.
  • the user input module may receive a user's edit 340 of a standard image for expressing the user's body shape (relatively thick lower body) from the user.
  • the editing of the user may include editing to thickly extend the lower body on the anatomical diagram through drag and drop on the touch screen.
  • the user input module 180 may store the human body proportional view in which the lower body is thickened as the user body image 332.
  • the body composition measuring apparatus 100 may generate corrected body component information.
  • the body composition measurement according to an embodiment of the present disclosure provides a simple and intuitive way to generate body composition information through images of body shape characteristics such as lower body obesity and upper body muscle overload, which cannot be considered only by the impedance 351 and simple user information 352. It may be reflected to have an effect of providing more accurate body composition information. In addition, it may be reflected in the generation of body composition information through a user image including a body part which cannot be measured by a simple body composition measuring apparatus such as a wearable device. In addition, there may be an effect that the accuracy and reliability of the body composition information generated accordingly may be ensured.
  • the body composition measuring apparatus may directly receive the edit 340 of the user so that the user image, the correction information, and the corrected body composition information may be generated on the body composition measuring apparatus 100. Therefore, even when communication with another device or server is difficult due to a network error, etc., correction body composition information can be generated.
  • a relatively large body composition measuring device eg, a professional body composition measuring device
  • the user terminal may include a receiver 710, a correction information generator 730, and a transmitter 750.
  • the user terminal may include a personal computer (PC), a notebook (note book), a mobile terminal (mobile terminal), a smart phone (smart phone), a tablet PC (tablet pc), etc., and can be connected to a wired / wireless network. It may include all kinds of terminals.
  • the receiver 710, the correction information generator 730, and the transmitter 750 may perform roles corresponding to the receiver 910, the correction information generator 930, and the transmitter 950 of the server described above with reference to FIG. 1. Can be configured.
  • the receiver 710 of the user terminal may receive a user image 330 and user information 352 of the user's body from the user.
  • the correction information generation unit 730 may compare the standard image determined based on the user information or the user information and the body composition information 200 with the user image.
  • the correction information generator may generate the correction information 350 based on the comparison result, that is, the difference.
  • the transmitter 750 may transmit the correction information to the body composition measuring apparatus 100.
  • the user terminal may enable the body composition measuring apparatus 100 to generate corrected body component information.
  • the body composition measurement according to an embodiment of the present disclosure provides a simple and intuitive way to generate body composition information through images of body shape characteristics such as lower body obesity and upper body muscle overload, which cannot be considered only by the impedance 351 and simple user information 352. It may be reflected to have an effect of providing more accurate body composition information. In addition, it may be reflected in the generation of body composition information through a user image including a body part which cannot be measured by a simple body composition measuring apparatus such as a wearable device. In addition, there may be an effect that the accuracy and reliability of the body composition information generated accordingly may be ensured.
  • the user terminal may generate correction information regardless of the existence of the server 900.
  • the user terminal may provide correction information through direct communication with the body composition measuring apparatus, generation of the correction body composition information may be performed more quickly.
  • FIG 10 illustrates an example system in which various aspects may be implemented in accordance with one embodiment of the present disclosure.
  • FIG. 10 illustrates devices connected to a network according to an embodiment of the present disclosure, and the device may include a body composition measuring apparatus 100, a user terminal 700, a server 900, and the like.
  • the body composition measuring apparatus 100, the user terminal 700, and the server 900 have been described above, and the network will be described below.
  • the network measures body composition information of the body composition information 200, the correction body composition information 300, the user information 352, the correction information 350, the user's edit 340, and the like according to embodiments including various aspects of the present disclosure. It may be configured to transmit / receive between the device 100, the user terminal 700, and the server 900.
  • the network connecting the respective servers and user equipment here is not necessarily one single network.
  • the network may be a LAN, WAN, intranet or the Internet, or a combination thereof, that enables communication between multiple computing devices.
  • the network may include a wireless, wired, or wireless wired bond connection.
  • techniques such as VPNs can be used to enhance security.
  • PSTN Public Switiched Telephone Network
  • xDSL Digital Subscriber Line
  • RADSL Rate Adaptive DSL
  • MDSL Multi Rate DSL
  • VDSL Very High Speed DSL
  • UDASL universal asymmetric DSL
  • HDSL high bit rate DSL
  • LAN local area network
  • CDMA Code Division Multi Access
  • TDMA Time Division Multi Access
  • FDMA Frequency Division Multi Access
  • OFDMA Orthogonal Frequency Division Multi Access
  • SC-FDMA Single Carrier-FDMA
  • various wireless communication systems such as other systems.
  • a network may be configured regardless of a communication mode such as wired and wireless, and is configured with various communication networks such as a personal area network (PAN) and a wide area network (WAN). Can be.
  • the network may be a well-known World Wide Web (WWW), or may use a wireless transmission technology used for short-range communication such as infrared (IrDA) or Bluetooth (Bluetooth).
  • IrDA infrared
  • Bluetooth Bluetooth
  • data, instructions, instructions, information, signals, bits, symbols, and chips may include voltages, currents, electromagnetic waves, magnetic fields or particles, optical fields. Or particles, or any combination thereof.
  • the various embodiments presented herein may be embodied in a method, apparatus, or article of manufacture using standard programming and / or engineering techniques.
  • article of manufacture includes a computer program, carrier, or media accessible from any computer-readable device.
  • computer-readable media may include magnetic storage devices (eg, hard disks, floppy disks, magnetic strips, etc.), optical discs (eg, CDs, DVDs, etc.), smart cards, and flash memory. Devices, such as, but not limited to, EEPROM, cards, sticks, key drives, and the like.
  • various storage media presented herein include one or more devices and / or other machine-readable media for storing information.
  • machine-readable medium includes, but is not limited to, a wireless channel and various other media capable of storing, holding, and / or delivering instruction (s) and / or data.
  • the present invention can be used in a body composition measuring apparatus, a body composition measuring server, a user terminal, a digital device, and a wearable device.

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Abstract

La présente invention concerne un dispositif de mesure de composition corporelle selon un mode de réalisation. Le dispositif de mesure de composition corporelle comprend : deux ou plus de deux électrodes pour mesurer une impédance d'au moins une partie du corps d'un utilisateur; un module d'émission et de réception pour recevoir des informations de compensation provenant d'un serveur et/ou un terminal d'utilisateur; et un module de génération d'informations biologiques pour générer des informations de composition corporelle compensées sur la base d'informations d'utilisateur, de l'impédance et des informations de compensation, les informations d'utilisateur comprenant des informations sur au moins l'un parmi l'âge, le poids, la taille et le sexe de l'utilisateur, les informations de compensation comprenant une valeur de compensation telle qu'un type de corps de l'utilisateur dans une image d'utilisateur soit reflété dans la génération des informations de composition corporelle compensées et peuvent être générées par le serveur et/ou le terminal d'utilisateur sur la base d'une différence entre une image standard et l'image de l'utilisateur du corps de l'utilisateur, l'image de l'utilisateur comprenant une image comprenant le corps de l'utilisateur.
PCT/KR2016/006924 2016-06-22 2016-06-29 Dispositif de mesure de composition corporelle et serveur pour compenser un résultat de mesure de composition corporelle Ceased WO2017222100A1 (fr)

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KR101864952B1 (ko) * 2016-11-14 2018-06-07 (주)도넛시스템엘에스아이 측정값 보정기능을 가진 체성분분석기
KR101865814B1 (ko) * 2016-11-18 2018-06-11 (주)원소프트다임 휴대용 체성분 측정기에 활동량센서를 부가한 스마트 디바이스
KR102059871B1 (ko) * 2018-09-05 2019-12-27 주식회사 셀바스헬스케어 사용자 이미지에 기초하여 골밀도 정보를 생성하기 위한 체성분 측정 장치
KR102327390B1 (ko) * 2019-02-01 2021-11-17 남승종 인체 밀착 수트를 활용한 헬스케어 시스템

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