Sparse Representation for Kinect Based Hand Gesture Recognition System
Zeke Xu, Zhenhao Huang, Zhuoxiong Zhao, Zhiyuan Li, Pengsen Huang · 2013
Hand gesture recognition that has proven a significant factor to directly influence the nonverbal communication between human and computer is becoming a challenging topic in the field of machine vision.This paper aims to propose a novel hand gesture recognition system which applies sparse representation to the Kinect to improve the efficiency of Kinect-based human-computer interaction.Auto-encoder neural network computation is also utilized to achieve better result.The sparse auto-encoder neural network is versatile and robust in complex features learning and computational efficient.Finally, results indicate that our algorithm greatly facilitates the gesture recognition rate up to 95%.