Invention Grant
- Patent Title: Method and system for identifying biometric characteristics using machine learning techniques
-
Application No.: US17983273Application Date: 2022-11-08
-
Publication No.: US11776246B2Publication Date: 2023-10-03
- Inventor: Dingchao Zhang , Michael Bernico , Peter Laube , Utku Pamuksuz , Jeffrey S. Myers , Marigona Bokshi-Drotar , Edward W. Breitweiser
- Applicant: State Farm Mutual Automobile Insurance Company
- Applicant Address: US IL Bloomington
- Assignee: State Farm Mutual Automobile Insurance Company
- Current Assignee: State Farm Mutual Automobile Insurance Company
- Current Assignee Address: US IL Bloomington
- Agency: Lee & Hayes, P.C.
- The original application number of the division: US16667322 2019.10.29
- Main IPC: G06V10/82
- IPC: G06V10/82 ; A61B5/00 ; G06V40/10 ; G06V20/40 ; G06F18/214 ; G06V40/16
Abstract:
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.
Public/Granted literature
- US20230060732A1 METHOD AND SYSTEM FOR IDENTIFYING BIOMETRIC CHARACTERISTICS USING MACHINE LEARNING TECHNIQUES Public/Granted day:2023-03-02
Information query
