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1.发明授权公开(公告)号：US10824852B1
公开(公告)日：2020-11-03
申请号：US16667322
申请日：2019-10-29
发明人： Dingchao Zhang , Michael Bernico , Peter Laube , Utku Pamuksuz , Jeffrey S. Myers , Marigona Bokshi-Drotar , Edward W. Breitweiser
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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2.发明授权公开(公告)号：US11776246B2
公开(公告)日：2023-10-03
申请号：US17983273
申请日：2022-11-08
发明人： Dingchao Zhang , Michael Bernico , Peter Laube , Utku Pamuksuz , Jeffrey S. Myers , Marigona Bokshi-Drotar , Edward W. Breitweiser
CPC分类号： G06V10/82 , A61B5/6891 , G06F18/214 , G06V20/40 , G06V40/10 , G06V40/171 , G06V40/172 , G06V40/15 , G06V40/178
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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公开(公告)号：US20240079117A1
公开(公告)日：2024-03-07
申请号：US18506880
申请日：2023-11-10
发明人： Dingchao Zhang , Jeffrey S. Myers , Michael Bernico , Marigona Bokshi-Drotar , Edward W. Breitweiser , Peter Laube , Utku Pamuksuz
CPC分类号： G16H30/40 , G06T7/0012 , G06V40/168 , G16H15/00 , G16H50/50 , A61B5/0533
摘要： 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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公开(公告)号：US10824888B1
公开(公告)日：2020-11-03
申请号：US15874060
申请日：2018-01-18
发明人： Ben Blaisdell , Yue Liu , Aditya Subramanian , Sripriya Sundararaman , Aaron Scott Chan , Utku Pamuksuz , Kenneth J. Sanchez
摘要： Systems and methods for assessing the movements of a driver while operating the vehicle are provided. According to certain aspects, an electronic device may receive and analyze image data from a 2-D image sensor and a 3-D image sensor, where the image data depicts an individual located within a vehicle. The electronic device may also access a library of baseline movements to which to compare the image data. Based on the comparing, the electronic device may identify and record a set of movements made by the driver.
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公开(公告)号：US11862326B1
公开(公告)日：2024-01-02
申请号：US17081812
申请日：2020-10-27
发明人： Dingchao Zhang , Jeffrey S. Myers , Michael Bernico , Marigona Bokshi-Drotar , Edward W. Breitweiser , Peter Laube , Utku Pamuksuz
IPC分类号： G06K9/00 , G16H30/40 , G06T7/00 , G16H50/50 , G16H15/00 , G06V40/16 , A61B5/16 , A61B5/021 , G16H50/30 , A61B5/01 , A61B5/024 , A61B5/0533
CPC分类号： G16H30/40 , G06T7/0012 , G06V40/168 , G16H15/00 , G16H50/50 , A61B5/01 , A61B5/021 , A61B5/024 , A61B5/0533 , A61B5/165 , G06T2200/24 , G06T2207/10016 , G06T2207/20081 , G06T2207/30004 , G06T2207/30201 , G16H50/30
摘要： 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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6.发明申请公开(公告)号：US20230060732A1
公开(公告)日：2023-03-02
申请号：US17983273
申请日：2022-11-08
发明人： Dingchao Zhang , Michael Bernico , Peter Laube , Utku Pamuksuz , Jeffrey S. Myers , Marigona Bokshi-Drotar , Edward W. Breitweiser
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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7.发明授权公开(公告)号：US11521412B1
公开(公告)日：2022-12-06
申请号：US17087446
申请日：2020-11-02
发明人： Dingchao Zhang , Michael Bernico , Peter Laube , Utku Pamuksuz , Jeffrey S. Myers , Marigona Bokshi-Drotar , Edward W. Breitweiser
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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公开(公告)号：US10825564B1
公开(公告)日：2020-11-03
申请号：US15837540
申请日：2017-12-11
发明人： Dingchao Zhang , Michael Bernico , Peter Laube , Utku Pamuksuz , Jeffrey S. Myers , Marigona Bokshi-Drotar , Edward W. Breitweiser
IPC分类号： G06K9/00 , G16H30/40 , G16H15/00 , G06T7/00 , G16H50/50 , A61B5/021 , G16H50/30 , A61B5/01 , A61B5/024 , A61B5/053 , A61B5/16
摘要： 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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