Discriminating features learning in hand gesture classification

The advent and popularity of Kinect provides a new choice and opportunity for hand gesture recognition (HGR) research. In this study, the authors propose a discriminating features extraction for HGR, in which features from red, green and blue (RGB) images and depth images are both explored. More spe...

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Bibliographic Details

Published in:	IET Computer Vision
Main Authors:	Feng Jiang, Cuihua Wang, Yang Gao, Shen Wu, Debin Zhao
Format:	Article
Language:	English
Published:	Wiley 2015-10-01
Subjects:	hand gesture classification features learning discrimination Kinect HGR research features extraction red, green and blue images
Online Access:	https://doi.org/10.1049/iet-cvi.2014.0426