Proceedings of the 2013 International Conference on Advanced ICT and Education

Sparse Representation for Kinect Based Hand Gesture Recognition System

Authors
Zeke Xu, Zhenhao Huang, Zhuoxiong Zhao, Zhiyuan Li, Pengsen Huang
Corresponding Author
Zeke Xu
Available Online August 2013.
DOI
https://doi.org/10.2991/icaicte.2013.125How to use a DOI?
Keywords
human-computer interaction, hand gesture recognition system, sparse representation, Kinect, auto-encoder neu-ral network computation
Abstract
Hand gesture recognition that has proven a significant factor to directly influence the nonverbal communication between human and computer is becoming a chal-lenging topic in the field of machine vi-sion. 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 interac-tion. Auto-encoder neural network com-putation is also utilized to achieve better result. The sparse auto-encoder neural network is versatile and robust in com-plex features learning and computational efficient. Finally, results indicate that our algorithm greatly facilitates the gesture recognition rate up to 95%.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
2013 International Conference on Advanced ICT and Education (ICAICTE-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
978-90786-77-79-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/icaicte.2013.125How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Zeke Xu
AU  - Zhenhao Huang
AU  - Zhuoxiong Zhao
AU  - Zhiyuan Li
AU  - Pengsen Huang
PY  - 2013/08
DA  - 2013/08
TI  - Sparse Representation for Kinect Based Hand Gesture Recognition System
BT  - 2013 International Conference on Advanced ICT and Education (ICAICTE-13)
PB  - Atlantis Press
SP  - 610
EP  - 616
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaicte.2013.125
DO  - https://doi.org/10.2991/icaicte.2013.125
ID  - Xu2013/08
ER  -