Taiwan Sign Language Recognition System Using LC-KSVD Sparse Coding Method

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Title:	Taiwan Sign Language Recognition System Using LC-KSVD Sparse Coding Method
Authors:	Hsieh, Ching-Tang;Liou, Hsing-Che;Chen, Li-Ming
Keywords:	Sign Language;Recognition System;Sparse Coding;LC-KSVD
Date:	2016-06-25
Issue Date:	2016-09-14 02:10:37 (UTC+8)
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.
Relation:	Advances in Computer Science Research
Appears in Collections:	[Graduate Institute & Department of Electrical Engineering] Proceeding

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