Taiwan Sign Language Recognition System Using LC-KSVD Sparse Coding Method
Authors
Ching-Tang Hsieh, Hsing-Che Liou, Li-Ming Chen
Corresponding Author
Ching-Tang Hsieh
Available Online June 2016.
- DOI
- 10.2991/mmebc-16.2016.112How to use a DOI?
- Keywords
- Sign Language; Recognition System; Sparse Coding; LC-KSVD
- Abstract
Sign language, for deaf-impaired people, plays an important role in communication. In this paper, we devise a Taiwan Sign Language recognition system. We use the Kinect2 sensor to get data from 94 sign morphemes shown once by 4 people, and extract hand shape features and trajectory features from depth images and joints of the body skeleton. Finally, we have each sign morpheme dictionary trained by label consistent K-SVD (LC-KSVD) sparse coding algorithm for recognition. Experiments show our system performs well and the accuracy achieves 99.47% in close test.
- Copyright
- © 2016, 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 - Ching-Tang Hsieh AU - Hsing-Che Liou AU - Li-Ming Chen PY - 2016/06 DA - 2016/06 TI - Taiwan Sign Language Recognition System Using LC-KSVD Sparse Coding Method BT - Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer PB - Atlantis Press SP - 519 EP - 523 SN - 2352-5401 UR - https://doi.org/10.2991/mmebc-16.2016.112 DO - 10.2991/mmebc-16.2016.112 ID - Hsieh2016/06 ER -