HOLD GESTURE RECOGNITION USING MACHINE LEARNING

    公开(公告)号:US20240103633A1

    公开(公告)日:2024-03-28

    申请号:US18370837

    申请日:2023-09-20

    Applicant: Apple Inc.

    CPC classification number: G06F3/017 G06N3/0464

    Abstract: Embodiments are disclosed for hold gesture recognition using machine learning (ML). In an embodiment, a method comprises: receiving sensor signals indicative of a hand gesture made by a user, the sensor data obtained from at least one sensor of a wearable device worn by the user; generating a first embedding of first features extracted from the sensor signals; predicting a first part of a hold gesture based on a first ML gesture classifier and the first embedding; generating a second embedding of second features extracted from the sensor signals; predicting a second part of the hold gesture based on a second ML gesture classifier and the second embedding; predicting a hold gesture based at least in part on outputs of the first and second ML gesture classifiers and a prediction policy; and performing an action on the wearable device or other device based on the predicted hold gesture.

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