2nd International Conference On Systems Engineering and Modeling (ICSEM-13)

Real-Time 3D Hand Gesture Recognition from Depth Image

Authors
Lin Song, Ruimin Hu, Yulian Xiao, Liyu Gong
Corresponding Author
Lin Song
Available Online April 2013.
DOI
https://doi.org/10.2991/icsem.2013.242How to use a DOI?
Keywords
Hand Gesture Recognition, 3D Image Processing, Depth Images, Kinect, Human Computer Interaction
Abstract
In this paper, we propose a novel real-time 3D hand gesture recognition algorithm based on depth information. We segment out the hand region from depth image and convert it to a point cloud. Then, 3D moment invariant features are computed at the point cloud. Finally, support vector machine (SVM) is employed to classify the shape of hand into different categories. We collect a benchmark dataset using Microsoft Kinect for Xbox and test the propose algorithm on it. Experimental results prove the robustness of our proposed algorithm.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2nd International Conference On Systems Engineering and Modeling (ICSEM-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2013
ISBN
978-94-91216-42-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/icsem.2013.242How 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  - Lin Song
AU  - Ruimin Hu
AU  - Yulian Xiao
AU  - Liyu Gong
PY  - 2013/04
DA  - 2013/04
TI  - Real-Time 3D Hand Gesture Recognition from Depth Image
BT  - 2nd International Conference On Systems Engineering and Modeling (ICSEM-13)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsem.2013.242
DO  - https://doi.org/10.2991/icsem.2013.242
ID  - Song2013/04
ER  -