Inventors
Pavlo Molchanov, Xiaodong Yang, Shalini De Mello, Kihwan Kim, Stephen Walter Tyree, Jan Kautz
Publication date
2018/12/18
Patent office
US
Patent number
10157309
Application number
15402128
Description
A method, computer readable medium, and system are disclosed for detecting and classifying hand gestures. The method includes the steps of receiving an unsegmented stream of data associated with a hand gesture, extracting spatio-temporal features from the unsegmented stream by a three-dimensional convolutional neural network (3DCNN), and producing a class label for the hand gesture based on the spatio-temporal features.
Scholar articles
Online detection and classification of dynamic gestures with recurrent convolutional neural networks
P Molchanov, X Yang, S De Mello, K Kim, SW Tyree… - US Patent 10,157,309, 2018