METHODS AND SYSTEMS FOR COMPUTERIZED RECOGNITION OF HAND GESTURES

摘要

Methods, systems, and computer readable media for recognizing one or more hand gestures of a hand-based signal or conversation are described. Some implementations include obtaining one or more unprocessed images of the hand-based signal or conversation including images of at least one of the one or more hand gestures extracting one or more spectral features from the one or more unprocessed images using a Gabor filter bank, receiving the one or more unprocessed images of the one or more hand gestures and the extracted one or more spectral features by a Convolution Neural Network (CNN), and outputting a classification for the at least one of the one or more hand gestures using the Convolution Neural Network (CNN). In some implementations, at least one of the extracted one or more spectral features and at least one of the one or more unprocessed images of the one or more hand gestures are concatenated and input to the Convolution Neural Network (CNN).