Discriminating features learning in hand gesture classification

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
Main Authors: Feng Jiang, Cuihua Wang, Yang Gao, Shen Wu, Debin Zhao
Format: Article
Language:English
Published: Wiley 2015-10-01
Series:IET Computer Vision
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

Internet

https://doi.org/10.1049/iet-cvi.2014.0426

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