A comparison between etymon- and word-based chinese sign language recognition systems

Authors:
Chunli Wang;Xilin Chen;Wen Gao
Affiliations:
Institute of Computing Technology, Chinese Academy of Science, Beijing, China;Institute of Computing Technology, Chinese Academy of Science, Beijing, China;Institute of Computing Technology, Chinese Academy of Science, Beijing, China
Venue:
GW'05 Proceedings of the 6th international conference on Gesture in Human-Computer Interaction and Simulation
Year:
2005

Citing 5
Cited 3

Real-Time American Sign Language Recognition Using Desk and Wearable Computer Based Video

IEEE Transactions on Pattern Analysis and Machine Intelligence
A Real-Time Large Vocabulary Continuous Recognition System for Chinese Sign Language

PCM '01 Proceedings of the Second IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
A Real-Time Continuous Gesture Recognition System for Sign Language

FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
An Approach Based on Phonemes to Large Vocabulary Chinese Sign Language Recognition

FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Glove-talkii: mapping hand gestures to speech using neural networks. an approach to building adaptive interfaces

Glove-talkii: mapping hand gestures to speech using neural networks. an approach to building adaptive interfaces

Image and video for hearing impaired people

Journal on Image and Video Processing
Self-directed-learning for sign language recognition

ISCGAV'09 Proceedings of the 9th WSEAS international conference on Signal processing, computational geometry and artificial vision
Signer adaptation based on etyma for large vocabulary Chinese sign language recognition

PCM'07 Proceedings of the multimedia 8th Pacific Rim conference on Advances in multimedia information processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Hitherto, one major challenge to sign language recognition is how to develop approaches that scale well with increasing vocabulary size. In large vocabulary speech recognition realm, it is effective to use phonemes instead of words as the basic units. This idea can be used in large vocabulary Sign Language recognition, too. In this paper, Etyma are defined to be the smallest unit in a sign language, that is, a unit that has some meaning and distinguishes one sign from the others. They can be seen as phonemes in Sign Language. Two approaches to large vocabulary Chinese Sign Languagerecognition are discussed in this paper. One uses etyma and the other uses whole signs as the basic units. Two CyberGloves and a Pohelmus 3-D tracker with three receivers positioned on the wrist of CyberGlove and the back are used as input device. Etymon- and word- based recognition systems are introduced, which are designed to recognize 2439 etyma and 5100 signs. And then the experimental results of these two systems are given and analyzed.