Apple Inc.

Joseph Y Cheng

Daniel A Podhajny

Bradley William Griffin

Benjamin J Grena

Erdrin Azemi

Hanlin Goh

Ali Moin

Lia Mieko Uesato

Kaan Emre Dogrusoz

Helen Y Weng

Matthias R Hohmann

A method is provided that includes receiving biosignal data measured from a user, encoding the biosignal data into a vector, and generating, using a generative model, an image based on the vector. The generated image is provided for display.

Visualization of biosignals using machine-learning generated content

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.

Electrodes for gesture recognition

Growing community of inventors

Cupertino, CA, United States of America

Joseph Y Cheng