Detecting Human Input Activity In a Cognitive Environment Using Wearable Inertia and Audio Sensors

    公开(公告)号:US20190156219A1

    公开(公告)日:2019-05-23

    申请号:US15818140

    申请日:2017-11-20

    Inventor: Victor C. Dibia

    Abstract: A mechanism is provided in a data processing system comprising a processor and a memory. The memory comprises instructions which are executed by the processor to cause the processor to be specifically configured to implement a recognizer module for detecting user input in a cognitive environment. The recognizer module receives sensor signals from at least one wearable device being worn by a user. The recognizer module analyzes the sensor signals using a machine learning model to determine at least one user input indicator describing user input activity of the user. The recognizer module communicates the at least one user input indicator to a cognitive system executing within the cognitive environment. The cognitive system performs at least one cognitive action based on the at least one user input indicator.

    Detecting human input activity in a cognitive environment using wearable inertia and audio sensors

    公开(公告)号:US11195118B2

    公开(公告)日:2021-12-07

    申请号:US15818140

    申请日:2017-11-20

    Inventor: Victor C. Dibia

    Abstract: A mechanism is provided in a data processing system comprising a processor and a memory. The memory comprises instructions which are executed by the processor to cause the processor to be specifically configured to implement a recognizer module for detecting user input in a cognitive environment. The recognizer module receives sensor signals from at least one wearable device being worn by a user. The recognizer module analyzes the sensor signals using a machine learning model to determine at least one user input indicator describing user input activity of the user. The recognizer module communicates the at least one user input indicator to a cognitive system executing within the cognitive environment. The cognitive system performs at least one cognitive action based on the at least one user input indicator.

    Detecting Human Input Activity in a Cognitive Environment Using Wearable Inertia and Audio Sensors

    公开(公告)号:US20220058529A1

    公开(公告)日:2022-02-24

    申请号:US17517374

    申请日:2021-11-02

    Inventor: Victor C. Dibia

    Abstract: A mechanism is provided in a data processing system comprising a processor and a memory. The memory comprises instructions which are executed by the processor to cause the processor to be specifically configured to implement a recognizer module for detecting user input in a cognitive environment. The recognizer module receives sensor signals from at least one wearable device being worn by a user. The recognizer module analyzes the sensor signals using a machine learning model to determine at least one user input indicator describing user input activity of the user. The recognizer module communicates the at least one user input indicator to a cognitive system executing within the cognitive environment. The cognitive system performs at least one cognitive action based on the at least one user input indicator.

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