Face Detection in Color Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Video-Based Sign Language Recognition Using Hidden Markov Models
Proceedings of the International Gesture Workshop on Gesture and Sign Language in Human-Computer Interaction
Introduction to Machine Learning (Adaptive Computation and Machine Learning)
Introduction to Machine Learning (Adaptive Computation and Machine Learning)
A System for Sign Language Recognition Using Fuzzy Object Similarity Tracking
IV '05 Proceedings of the Ninth International Conference on Information Visualisation
ISCIS'05 Proceedings of the 20th international conference on Computer and Information Sciences
Large vocabulary sign language recognition based on fuzzy decision trees
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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In order to provide communication between the deaf-dumb people and the hearing people, a two-stage system translating Turkish Sign Language into Turkish is developed by using vision based approach. Hidden Markov models are utilized to determine the global feature group in the dynamic gesture recognition stage, and k nearest neighbor algorithm is used to compare the local features in the static gesture recognition stage. The system can perform person dependent recognition of 172 isolated signs.