US 12,093,465 B2
Methods and systems for hand gesture-based control of a device
Juwei Lu, North York (CA); Sayem Mohammad Siam, North York (CA); Wei Zhou, Richmond Hill (CA); Peng Dai, Markham (CA); Xiaofei Wu, Guodong (CN); and Songcen Xu, Guangdong (CN)
Assigned to HUAWEI TECHNOLOGIES CO., LTD., Shenzhen (CN)
Filed by HUAWEI TECHNOLOGIES CO., LTD., Guangdong (CN)
Filed on Sep. 22, 2022, as Appl. No. 17/950,246.
Application 17/950,246 is a continuation of application No. PCT/CN2020/080562, filed on Mar. 23, 2020.
Prior Publication US 2023/0082789 A1, Mar. 16, 2023
Int. Cl. G06F 3/01 (2006.01); G06V 40/20 (2022.01)
CPC G06F 3/017 (2013.01) [G06V 40/20 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
processing an input frame of a sequence of frames captured by a camera of a device to determine a location of at least one detected instance of a distinguishing anatomical feature in the input frame, the at least one detected instance of the distinguishing anatomical feature detected in the input frame being a non-hand anatomical feature;
defining, for at least a selected one of the at least one detected instance of the distinguishing anatomical feature, a virtual gesture-space based on the location of the selected one instance of the distinguishing anatomical feature, the virtual gesture-space being a shape defined within the input frame for detecting a gesture input;
processing only the virtual gesture-space that is the shape defined within each frame in the sequence of frames to detect and track at least one hand;
predicting, using information generated from detecting and tracking the at least one hand, a gesture class associated with the at least one hand; and
outputting the predicted gesture class associated with the at least one hand.