Julian R Quintana

US Patent:

20210142214, May 13, 2021

Filed:

Jul 23, 2020

Appl. No.:

16/937481

Inventors:

- Cupertino CA, US
Shawn R. SCULLY - Seattle WA, US
Christopher B. FLEIZACH - Gilroy CA, US
Tu K. NGUYEN - San Jose CA, US
Lilian H. LIANG - Kenmore WA, US
Warren J. SETO - Sunnyvale CA, US
Julian QUINTANA - San Jose CA, US
Michael J. BEYHS - San Francisco CA, US
Hojjat SEYED MOUSAVI - Santa Clara CA, US
Behrooz SHAHSAVARI - Hayward CA, US

International Classification:

G06N 20/00
G06F 3/01
G06F 3/0488
G06K 9/62

Abstract:

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.