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    TECHNIQUES FOR DEVICE LOCALIZATION
    2.
    发明申请
    TECHNIQUES FOR DEVICE LOCALIZATION 有权

    公开(公告)号：US20250089016A1

    公开(公告)日：2025-03-13

    申请号：US18806172

    申请日：2024-08-15

    Applicant: Apple Inc.

    Inventor： Gabrielle A. Belzberg ,  Alexander J. Wiens ,  Halil Ibrahim Basturk ,  Benjamin A. Werner ,  Adam S. Howell ,  Hui Lin ,  Jun Kyu Lee ,  Jack D. Reilly ,  Behrooz Shahsavari ,  Hojjat Seyed Mousavi

    IPC: H04W64/00

    Abstract: In some implementations, techniques may include at a plurality of times while a user of the first portable device is moving with the first portable device: performing ranging at a respective position with a second device to determine a respective distance, thereby determining a plurality of respective distances, where the second device is stationary; obtaining raw measurements from a motion sensor of the first portable device. In addition, the device may include using the raw measurements at the plurality of times to determine relative positions at the plurality of times, the relative position from an initial position. The techniques may include estimating a second position of the second device that optimizes a loss function that includes differences of the respective distances at the relative positions and the actual distance between the relative positions and the second position.

    MACHINE-LEARNING BASED GESTURE RECOGNITION WITH FRAMEWORK FOR ADDING USER-CUSTOMIZED GESTURES
    3.
    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

    Applicant: Apple Inc.

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

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

    Abstract: 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
    5.
    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

    Applicant: Apple Inc.

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

    IPC: G06F3/01 ,  G06N3/0464

    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.

    User Authentication Using Biometric and Motion-Related Data of a User Using a Set of Sensors
    6.
    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

    Applicant: Apple Inc.

    Inventor： Hojjat Seyed Mousavi ,  Behrooz Shahsavari

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

    Abstract: 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.

    Wireless Charging System With Machine-Learning-Based Foreign Object Detection
    8.
    发明申请
    Wireless Charging System With Machine-Learning-Based Foreign Object Detection 审中-公开

    公开(公告)号：US20190074730A1

    公开(公告)日：2019-03-07

    申请号：US15875287

    申请日：2018-01-19

    Applicant: Apple Inc.

    Inventor： Behrooz Shahsavari ,  Sneha Kadetotad ,  Weiyu Huang ,  Baboo V. Gowreesunker

    IPC: H02J50/60 ,  H02J7/02 ,  H02J50/12 ,  G08B21/18 ,  G06K9/62 ,  G01R27/26

    Abstract: A wireless power transmission system has a wireless power receiving device with a wireless power receiving coil that is located on a charging surface of a wireless power transmitting device with a wireless power transmitting coil array. Control circuitry in the wireless power transmitting device may use inverter circuitry to supply alternating-current signals to coils in the coil array, thereby transmitting wireless power signals. The control circuitry may also be used to detect foreign objects on the coil array such as metallic objects without wireless power receiving coils. For example, control circuitry may use inductance measurements from the coils in the coil array to determine a probability value indicative of whether a foreign object is present on the charging surface. The control circuitry may compare the probability value to a threshold and take suitable action in response to the comparison.

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