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/).
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 -