Efficient gesture processing
    32.
    发明授权

    公开(公告)号:US10353476B2

    公开(公告)日:2019-07-16

    申请号:US15397511

    申请日:2017-01-03

    Abstract: Embodiments of the invention describe a system to efficiently execute gesture recognition algorithms. Embodiments of the invention describe a power efficient staged gesture recognition pipeline including multimodal interaction detection, context based optimized recognition, and context based optimized training and continuous learning. Embodiments of the invention further describe a system to accommodate many types of algorithms depending on the type of gesture that is needed in any particular situation. Examples of recognition algorithms include but are not limited to, HMM for complex dynamic gestures (e.g. write a number in the air), Decision Trees (DT) for static poses, peak detection for coarse shake/whack gestures or inertial methods (INS) for pitch/roll detection.

    SENSOR ASSISTED MENTAL HEALTH THERAPY
    37.
    发明申请

    公开(公告)号:US20180285528A1

    公开(公告)日:2018-10-04

    申请号:US15474421

    申请日:2017-03-30

    Abstract: Computer systems to allow users to record sensor readings of their environment and correlate these sensor readings with mental health events for later analysis to improve mental health diagnoses and treatments. A monitoring system comprising a computing device and a sensor set (comprising one or more sensors integral to or communicatively coupled to the computing device) may collect and store data collected about the user. This data may be stored in the computing device, or may be stored in a cloud based data-storage service. This data may be annotated or correlated (either manually, or automatically) with mental health events of the user and used for later analysis.

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