- 专利标题: Method and system for identifying biometric characteristics using machine learning techniques
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申请号: US16667322申请日: 2019-10-29
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公开(公告)号: US10824852B1公开(公告)日: 2020-11-03
- 发明人: Dingchao Zhang , Michael Bernico , Peter Laube , Utku Pamuksuz , Jeffrey S. Myers , Marigona Bokshi-Drotar , Edward W. Breitweiser
- 申请人: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
- 申请人地址: US IL Bloomington
- 专利权人: State Farm Mutual Automobile Insurance Company
- 当前专利权人: State Farm Mutual Automobile Insurance Company
- 当前专利权人地址: US IL Bloomington
- 代理机构: Lee & Hayes, P.C.
- 主分类号: G06K9/00
- IPC分类号: G06K9/00 ; G06K9/62 ; A61B5/00
摘要:
A method and system may use machine learning analysis of audio data to automatically identify a user's biometric characteristics. A user's client computing device may capture audio of the user. Feature data may be extracted from the audio 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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