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    MACHINE-LEARNING BASED GESTURE RECOGNITION WITH FRAMEWORK FOR ADDING USER-CUSTOMIZED GESTURES
    4.
    发明申请
    MACHINE-LEARNING BASED GESTURE RECOGNITION WITH FRAMEWORK FOR ADDING USER-CUSTOMIZED GESTURES 有权

    公开(公告)号：US20220391697A1

    公开(公告)日：2022-12-08

    申请号：US17740291

    申请日：2022-05-09

    申请人： Apple Inc.

    发明人： Hojjat Seyed Mousavi ,  Behrooz Shahsavari ,  Nima Ferdosi ,  Charles Maalouf ,  Xuhai Xu

    IPC分类号： G06N3/08 ,  G06F1/16 ,  G06F3/01 ,  G06F3/0346

    摘要： Embodiments are disclosed for a machine learning (ML) gesture recognition with a framework for adding user-customized gestures. In an embodiment, a method comprises: receiving sensor data indicative of a gesture made by a user, the sensor data obtained from at least one sensor of a wearable device worn on a limb of the user; generating a current encoding of features extracted from the sensor data using a machine learning model with the features as input; generating similarity metrics between the current encoding and each encoding in a set of previously generated encodings for gestures; generating similarity scores based on the similarity metrics; predicting the gesture made by the user based on the similarity scores; and performing an action on the wearable device or other device based on the predicted gesture.

    HOLD GESTURE RECOGNITION USING MACHINE LEARNING
    6.
    发明公开
    HOLD GESTURE RECOGNITION USING MACHINE LEARNING 审中-公开

    公开(公告)号：US20240103633A1

    公开(公告)日：2024-03-28

    申请号：US18370837

    申请日：2023-09-20

    申请人： Apple Inc.

    发明人： Bongsoo Suh ,  Behrooz Shahsavari ,  Charles Maalouf ,  Hojjat Seyed Mousavi ,  Laurence Lindsey ,  Shivam Kumar Gupta

    IPC分类号： G06F3/01 ,  G06N3/0464

    CPC分类号： G06F3/017 ,  G06N3/0464

    摘要： 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.

    User Authentication Using Biometric and Motion-Related Data of a User Using a Set of Sensors
    8.
    发明申请
    User Authentication Using Biometric and Motion-Related Data of a User Using a Set of Sensors 有权

    公开(公告)号：US20230095810A1

    公开(公告)日：2023-03-30

    申请号：US17831278

    申请日：2022-06-02

    申请人： Apple Inc.

    发明人： Hojjat Seyed Mousavi ,  Behrooz Shahsavari

    IPC分类号： G06K9/62 ,  G06N3/04 ,  G06N3/08 ,  G06F3/01 ,  G06F21/31

    摘要： A method for authenticating a user is disclosed. The method includes collecting, by a processor of an electronic device and while the electronic device is worn by a user, measurement data from a set of sensors of the electronic device. The method also includes providing, by the processor and to a machine-learning model, the collected measurement data from the set of sensors and previously collected sets of measurement data for a known user. The method also includes obtaining, by the processor, an indication of whether an extracted feature set is similar to one of a number of classified feature sets. At least one of the classified feature sets is classified as belonging to the known user and generated based on the previously collected sets of measurement data for the known user. The method also includes determining, by the processor, whether the user is the known user based on the obtained indication.

    Characterization of a Venting State or Other System Parameter that Affects the Characterization of a Force Applied to a Device
    9.
    发明申请
    Characterization of a Venting State or Other System Parameter that Affects the Characterization of a Force Applied to a Device 审中-公开

    公开(公告)号：US20200371657A1

    公开(公告)日：2020-11-26

    申请号：US16847460

    申请日：2020-04-13

    申请人： Apple Inc.

    发明人： Hojjat Seyed Mousavi ,  Yonathan Morin

    IPC分类号： G06F3/0488 ,  G01L1/14 ,  G06F3/044

    摘要： An electronic device includes a pressure sensor and a processor. The pressure sensor is disposed within an interior volume of the electronic device and configured to generate a time-dependent sequence of measurements related to a force applied to the electronic device. The processor is configured to characterize, using at least the time-dependent sequence of measurements, a venting state of the interior volume. In some embodiments, the electronic device may also include a capacitive force sensor disposed to detect distortion of the interior volume. A second time-dependent sequence of measurements related to the force may be generated by the capacitive force sensor, and used by the processor to characterize the venting state of the interior volume.