Jian Wu

US Patent:

20190320103, Oct 17, 2019

Filed:

Jun 26, 2019

Appl. No.:

16/453999

Inventors:

- College Station TX, US
Roozbeh JARARI - University Park TX, US
Kui LIU - Dallas TX, US
Chen CHEN - Richardson TX, US
Jian WU - Richardson TX, US

International Classification:

H04N 5/232
G06K 9/62
G06K 9/00

Abstract:

A method of recognizing movement includes measuring, by an inertial sensor, a first unit of inertia of an object. In addition, the method includes measuring a three dimensional shape of the object. Further, the method includes receiving, by a processor, a signal representative of the measured first unit of inertia from the inertial sensor and a signal representative of the measured shape from the depth sensor. Still further, the method includes determining a type of movement of the object based on the measured first unit of inertia and the measured shape utilizing a classification model.

US Patent:

20160292497, Oct 6, 2016

Filed:

Apr 6, 2016

Appl. No.:

15/092347

Inventors:

- College station TX, US
Roozbeh JARARI - University Park TX, US
Kui LIU - Dallas TX, US
Chen CHEN - Richardson TX, US
Jian WU - Richardson TX, US

International Classification:

G06K 9/00
H04N 5/232

Abstract:

A movement recognition system includes an inertial sensor, a depth sensor, and a processor. The inertial sensor is coupled to an object and configured to measure a first unit of inertia of the object. The depth sensor is configured to measure a three dimensional shape of the object using projected light patterns and a camera. The processor is configured to receive a signal representative of the measured first unit of inertia from the inertial sensor and a signal representative of the measured shape from the depth sensor and to determine a type of movement of the object based on the measured first unit of inertia and the measured shape utilizing a classification model.