Hand Gesture Recognition Based on Perceptual Shape Decomposition with a Kinect Camera
Summary :
In this paper, we propose the Perceptual Shape Decomposition (PSD) to detect fingers for a Kinect-based hand gesture recognition system. The PSD is formulated as a discrete optimization problem by removing all negative minima with minimum cost. Experiments show that our PSD is perceptually relevant and robust against distortion and hand variations, and thus improves the recognition system performance.
- Publication
- IEICE TRANSACTIONS on Information Vol.E96-D No.9 pp.2147-2151
- Publication Date
- 2013/09/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E96.D.2147
- Type of Manuscript
- LETTER
- Category
- Pattern Recognition
Authors
Chun WANG
Huazhong University of Science and Technology
Zhongyuan LAI
Huazhong University of Science and Technology
Hongyuan WANG
Huazhong University of Science and Technology
Keyword
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Chun WANG, Zhongyuan LAI, Hongyuan WANG, "Hand Gesture Recognition Based on Perceptual Shape Decomposition with a Kinect Camera" in IEICE TRANSACTIONS on Information,
vol. E96-D, no. 9, pp. 2147-2151, September 2013, doi: 10.1587/transinf.E96.D.2147.
Abstract: In this paper, we propose the Perceptual Shape Decomposition (PSD) to detect fingers for a Kinect-based hand gesture recognition system. The PSD is formulated as a discrete optimization problem by removing all negative minima with minimum cost. Experiments show that our PSD is perceptually relevant and robust against distortion and hand variations, and thus improves the recognition system performance.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E96.D.2147/_p
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@ARTICLE{e96-d_9_2147,
author={Chun WANG, Zhongyuan LAI, Hongyuan WANG, },
journal={IEICE TRANSACTIONS on Information},
title={Hand Gesture Recognition Based on Perceptual Shape Decomposition with a Kinect Camera},
year={2013},
volume={E96-D},
number={9},
pages={2147-2151},
abstract={In this paper, we propose the Perceptual Shape Decomposition (PSD) to detect fingers for a Kinect-based hand gesture recognition system. The PSD is formulated as a discrete optimization problem by removing all negative minima with minimum cost. Experiments show that our PSD is perceptually relevant and robust against distortion and hand variations, and thus improves the recognition system performance.},
keywords={},
doi={10.1587/transinf.E96.D.2147},
ISSN={1745-1361},
month={September},}
Copy
TY - JOUR
TI - Hand Gesture Recognition Based on Perceptual Shape Decomposition with a Kinect Camera
T2 - IEICE TRANSACTIONS on Information
SP - 2147
EP - 2151
AU - Chun WANG
AU - Zhongyuan LAI
AU - Hongyuan WANG
PY - 2013
DO - 10.1587/transinf.E96.D.2147
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E96-D
IS - 9
JA - IEICE TRANSACTIONS on Information
Y1 - September 2013
AB - In this paper, we propose the Perceptual Shape Decomposition (PSD) to detect fingers for a Kinect-based hand gesture recognition system. The PSD is formulated as a discrete optimization problem by removing all negative minima with minimum cost. Experiments show that our PSD is perceptually relevant and robust against distortion and hand variations, and thus improves the recognition system performance.
ER -
English
