Taiwan Sign Language Recognition System Using LC-KSVD Sparse Coding Method
Ching-Tang Hsieh, Hsing-Che Liou, Liming Chen · 2016
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.