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公开(公告)号:US12056285B2
公开(公告)日:2024-08-06
申请号:US17823870
申请日:2022-08-31
Applicant: Apple Inc.
Inventor: Kaan E. Dogrusoz , Ali Moin , Benjamin J. Grena , Erdrin Azemi , Joseph Cheng , Lia M. Uesato , Daniel A. Podhajny
Abstract: Electrodes that can be formed in a flexible band of a wrist-worn device to detect hand gestures are disclosed. Multiple rows of electrodes can be configured to detect electromyography (EMG) signals produced by activity of muscles and tendons. The band can include removable electrical connections (e.g., pogo pins) to enable the electrode signals to be routed to processing circuitry in the housing of the wrist-worn device. Measurements between signals from the active electrodes and one or more reference electrodes can be obtained to capture EMG signals at a number of locations on the band. The measurement method and mode of operation (lower power coarse detection or higher power fine detection) can determine the location and number of electrodes to be measured. These EMG signals can be processed to identify hand movements and recognize gestures associated with those hand movements.
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公开(公告)号:US20210374570A1
公开(公告)日:2021-12-02
申请号:US17326098
申请日:2021-05-20
Applicant: Apple Inc.
Inventor: Joseph Y. Cheng , Erdrin Azemi , Hanlin Goh , Kaan E. Dogrusoz , Cuneyt O. Tuzel
Abstract: The present application relates to apparatus, systems, and methods to perform subject-aware self-supervised learning of a machine-learning model for classification of data, such as classification of biosignals.
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