Pronunciation clustering and modeling of variability for appearance-based sign language recognition

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3881 LNAI, Issue , 2006, Pages 68-79

  Zahedi, Morteza ^a   Keysers, Daniel ^a   Ney, Hermann ^a  

^a RWTH AACHEN UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CAMERAS; ERROR ANALYSIS; FEATURE EXTRACTION; IMAGE SEGMENTATION; MARKOV PROCESSES; STANDARDS;

AUTOMATIC SIGN LANGUAGE RECOGNITION; PRONUNCIATION CLUSTERING; SIGN LANGUAGE RECOGNITION; VIDEO SIGNAL;

LINGUISTICS;

EID: 33745558555     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11678816_8     Document Type: Conference Paper

References (10)

1. Y. Nam and K. Wohn. Recognition of Space-Time Hand-Gestures Using Hidden Markov Model. In Proceedings of the ACM Symposium on Virtual Reality Software and Technology, pp. 51-58, Hong Kong, July 1996.
2. B. Bauer, H. Hienz, and K.F. Kraiss. Video-Based Continuous Sign Language Recognition Using Statistical Methods. In Proceedings of the International Conference on Pattern Recognition, pp. 463-466, Barcelona, Spain, September 2000.
3. T. Starner, J. Weaver, and A. Pentland. Real-Time American Sign Language Recognition Using Desk and Wearable Computer Based Video. IEEE Trans. Pattern Analysis and Machine Intelligence, 20(12):1371-1375, December 1998.
4. C. Vogler and D. Metaxas. Adapting Hidden Markov Models for ASL Recognition by Using Three-dimensional Computer Vision Methods. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, pp. 156-161, Orlando, FL, October 1997.
5. M. Zahedi, D. Keysers, and H. Ney. Appearance-based Recognition of Words in American Sign Language. 2nd Iberian Conference on Pattern Recognition and Image Analysis, Volume LNCS 3522 of Lecture Notes in Pattern Recognition and Image Analysis, pp. 511-519, Estoril, Portugal, June 2005.
6. D. Keysers, W. Macherey, and H. Ney. Adaptation in Statistical Pattern Recognition Using Tangent Vectors. IEEE Trans. Pattern Analysis and Machine Intelligence, 26(2):269-274, February 2004.
7. C. Neidle, J. Kegl, D. MacLaughlin, B. Bahan, and R.G. Lee. The Syntax of American Sign Language: Functional Categories and Hierarchical Structure. MIT Press, Cambridge, MA, 2000.
8. L.R. Rabiner. A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition. In Proceedings of the IEEE, 77(2):267-296, February 1989.
9. P. Simard, Y. Le Cun, and J. Denker. Efficient Pattern Recognition Using a New Transformation Distance. In Advances in Neural Information Processing Systems 5, pp. 50-58, Morgan Kaufmann, 1993.
10. Y. Linde, A. Buzo, and R. Gray. An Algorithm for Vector Quantization Design. IEEE Trans. on Communications, Vol. 28, pp. 84-95, January 1980.