WIRELESS CHARGING SYSTEM WITH IMAGE-PROCESSING-BASED FOREIGN OBJECT DETECTION

    公开(公告)号:WO2019050559A1

    公开(公告)日:2019-03-14

    申请号:PCT/US2018/014729

    申请日:2018-01-22

    Applicant: APPLE INC.

    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 identify segments of the coil array that correspond to potential wireless power receiving devices. The control circuitry may control wireless power transmission based on a comparison between the number of identified segments corresponding to potential wireless power receiving devices and a number of received device-identifiers.

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

    公开(公告)号:EP4098182A1

    公开(公告)日:2022-12-07

    申请号:EP22177137.1

    申请日:2022-06-03

    Applicant: Apple Inc.

    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.

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