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AI Biotech/Diagnostics: Cardio
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Patent US10503970
Issued 2019-12-10
Method And System For Identifying Biometric Characteristics Using Machine Learning Techniques
A method and system may use computer vision techniques and machine learning analysis to automatically identify a user's biometric characteristics. A user's client computing device may capture a video of the user. Feature data and movement data may be extracted from the video and applied to statistical models for determining several biometric characteristics. The determined biometric characteristic values may be used to identify individual health scores and the individual health scores may be combined to generate an overall health score and longevity metric. An indication of the user's biometric characteristics which may include the overall health score and longevity metric may be displayed on the user's client computing device.
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- 1. A method for identifying biometric characteristics of a user based on audiovisual data, the method executed by one or more processors programmed to perform the method, the method comprising:
obtaining, at one or more processors, a plurality of sets of audiovisual data corresponding to a plurality of people and one or more biometric characteristics for each of the plurality of people; for each of the one or more biometric characteristics: analyzing, by the one or more processors, each of the plurality of sets of audiovisual data to identify a plurality of features; analyzing, by the one or more processors, the plurality of features in each set of audiovisual data to identify movement data corresponding to changes in the plurality of features over time; and generating, by the one or more processors a model for determining an unknown biometric characteristic of a user based on the plurality of features, the movement data, and the obtained biometric characteristic for each of the plurality of people; receiving, at the one or more processors, a set of audiovisual data corresponding to a user, wherein the audiovisual data includes a plurality of frames captured over a threshold time period; applying, by the one or more processors, features within the set of audiovisual data corresponding to the user to the one or more models to determine the one or more biometric characteristics of the user; and providing, by the one or more processors, an indication of the determined one or more biometric characteristics of the user to a client computing device.
- 7. A server computing device for identifying biometric characteristics of a user based on audiovisual data, the server computing device comprising:
one or more processors; and a non-transitory computer-readable memory coupled to the one or more processors, and storing thereon instructions that, when executed by the one or more processors, cause the server computing device to:
obtain a plurality of sets of audiovisual data corresponding to a plurality of people and one or more biometric characteristics for each of the plurality of people;
for each of the one or more biometric characteristics:
analyze each of the plurality of sets of audiovisual data to identify a plurality of features;
analyze the plurality of features in each set of audiovisual data to identify movement data corresponding to changes in the plurality of features over time; and
generate a model for determining an unknown biometric characteristic of a user based on the plurality of features, the movement data, and the obtained biometric characteristic for each of the plurality of people;
receive a set of audiovisual data corresponding to a user, wherein the audiovisual data includes a plurality of frames captured over a threshold time period;
apply features within the set of audiovisual data corresponding to the user to the one or more models to determine the one or more biometric characteristics of the user; and
provide an indication of the determined one or more biometric characteristics of the user to a client computing device.
- 13. A non-transitory computer-readable memory storing thereon instructions that, when executed by one or more processors, cause the one or more processors to:
obtain a plurality of sets of audiovisual data corresponding to a plurality of people and one or more biometric characteristics for each of the plurality of people; for each of the one or more biometric characteristics: analyze the plurality of sets of audiovisual data to identify a plurality of features; analyze the plurality of features in each set of audiovisual data to identify movement data corresponding to changes in the plurality of features over time; and generate a model for determining an unknown biometric characteristic of a user based on the plurality of features, the movement data, and the obtained biometric characteristic for each of the plurality of people; receive a set of audiovisual data corresponding to a user, wherein the audiovisual data includes a plurality of frames captured over a threshold time period; apply features within the set of audiovisual data corresponding to the user to the one or more models to determine the one or more biometric characteristics of the user; and provide an indication of the determined one or more biometric characteristics of the user to a client computing device.
