MACHINE-LEARNING BASED GESTURE RECOGNITION

    公开(公告)号:US20210027199A1

    公开(公告)日:2021-01-28

    申请号:US16937479

    申请日:2020-07-23

    Applicant: Apple Inc.

    Abstract: The subject technology receives, from a first sensor of a device, first sensor output of a first type. The subject technology receives, from a second sensor of the device, second sensor output of a second type, the first and second sensors being non-touch sensors. The subject technology provides the first sensor output and the second sensor output as inputs to a machine learning model, the machine learning model having been trained to output a predicted touch-based gesture based on sensor output of the first type and sensor output of the second type. The subject technology provides a predicted touch-based gesture based on output from the machine learning model. Further, the subject technology adjusts an audio output level of the device based on the predicted gesture, and where the device is an audio output device.

    AUTOMATED SCHEDULE GENERATION WITH CONTENT FILLING

    公开(公告)号:US20240379209A1

    公开(公告)日:2024-11-14

    申请号:US18237875

    申请日:2023-08-24

    Applicant: Apple Inc.

    Abstract: The subject system may be implemented by a processor circuit configured to receive a request for generating a workout schedule that includes one or more workout sessions and one or more workout content items associated with the one or more workout sessions. The request includes one or more workout session preferences and one or more workout content preferences. The processor circuit is configured to generate a schedule framework based on the one or more workout session preferences, the schedule framework comprising one or more scheduled workout sessions on one or more days of a week, generate the workout schedule by selecting, for each respective scheduled workout session in the schedule framework, a workout content item from a set of workout content items based at least in part on the one or more workout content preferences, and provide an indication of at least a portion of the workout schedule.

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