Proceedings of the 2015 International Conference on Electrical, Automation and Mechanical Engineering

Ada-Boostbased Gesture Recognition using Time Interval Window

Authors
S.J. Hwang, J.P. Na, S.J. Park, J.H. Baek
Corresponding Author
S.J. Hwang
Available Online July 2015.
DOI
10.2991/eame-15.2015.94How to use a DOI?
Keywords
3D gesture recognition; machine learning;Ada-Boost
Abstract

The task of recognizing 3D gesture for controlling equipment is highly challenging due to the propagation of 3D smart TV recently. In this paper, the Ada-Boost algorithm is applied to 3D gesture recognition by using a Kinect sensor. We recognized time-invariant 3D gesture using global and local feature vectors that are normalized. The multi Ada-Boost algorithm is used to train and classify many 3D gesture types. Our experiment shows 95.17% of accuracy and 3.73% of error rate.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Conference on Electrical, Automation and Mechanical Engineering
Series
Advances in Engineering Research
Publication Date
July 2015
ISBN
10.2991/eame-15.2015.94
ISSN
2352-5401
DOI
10.2991/eame-15.2015.94How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - S.J. Hwang
AU  - J.P. Na
AU  - S.J. Park
AU  - J.H. Baek
PY  - 2015/07
DA  - 2015/07
TI  - Ada-Boostbased Gesture Recognition using Time Interval Window
BT  - Proceedings of the 2015 International Conference on Electrical, Automation and Mechanical Engineering
PB  - Atlantis Press
SP  - 339
EP  - 341
SN  - 2352-5401
UR  - https://doi.org/10.2991/eame-15.2015.94
DO  - 10.2991/eame-15.2015.94
ID  - Hwang2015/07
ER  -