Apple Inc.

Warren J Seto

Christopher Brian Fleizach

Tu K Nguyen

Behrooz Shahsavari

Michael J Beyhs

Shawn R Scully

Hojjat Seyed Mousavi

Charles Maalouf

Julian Quintana

Lilian H Liang

A device implementing a system for machine-learning based gesture recognition includes at least one processor configured to, receive, from a first sensor of the device, first sensor output of a first type, and receive, from a second sensor of the device, second sensor output of a second type that differs from the first type. The at least one processor is further configured to provide the first sensor output and the second sensor output as inputs to a machine learning model, the machine learning model having been trained to output a predicted gesture based on sensor output of the first type and sensor output of the second type. The at least one processor is further configured to determine the predicted gesture based on an output from the machine learning model, and to perform, in response to determining the predicted gesture, a predetermined action on the device.

Machine-learning based gesture recognition using multiple sensors

Growing community of inventors

Sunnyvale, CA, United States of America

Warren J Seto