Recognizing hand-raising gestures using HMM

Proceedings - 2nd Canadian Conference on Computer and Robot Vision, CRV 2005

Volumn , Issue , 2005, Pages 405-412

  Hossain, M ^a   Jenkin, M ^a  

^a YORK UNIVERSITY   (Canada)

Author keywords

Attention seeking gesture recognition; Hidden Markov Model; HMMs; spatio temporal modeling

Indexed keywords

COMPUTER VISION; DISTANCE EDUCATION; HIDDEN MARKOV MODELS; MARKOV PROCESSES;

HMMS; SPATIO-TEMPORAL MODELS; TOKEN SEQUENCES;

GESTURE RECOGNITION;

EID: 70350273256     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CRV.2005.67     Document Type: Conference Paper

References (15)

1. L. E. Baum. An inequality and associated maximization technique in statistical estimation for probabilistic function of Markov Process. Inequalities 3, pages 1-8, 1972.
2. Y. Bengio and P. Frasconi. Input-Output HMM's for Sequence Processing. IEEE Trans. Neural Networks, 7:1231-1249, 1996.
3. G. D. Forney. The Viterbi Algorithm. In Proc. IEEE, pages 268-278, 1973.
4. G. D. Forney. The Forward-Backward Algorithm. In Proc. of the 34th Allerton Conference on Communication, pages 432-446, 1996.
5. M. Hossain. Explicit Versus Implicit Temporal Representations in HMM Gesture Recognition Systems. Master's thesis, Computer Science & Engineering, York Univeristy, Toronto, Canada, 2005.
6. D. O. T. Jr. Hidden Markov Models for Gesture Recognition. Master's thesis, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA, August 1995.
7. T. K.Moon. The expectation maximization algorithm. IEEE Signal Processing Magazine, pages 47-60, 1996.
8. Y. Konig and N. Morgan. Modeling Dynamics in Connectionist Speech Recognition-The Time Index Model. In Proc. Int. Conf. Speech and Language Processing, TR-94-012, Berkeley, CA, 1994.
9. l. Deng. A generalized Hidden Markov Model with stateconditioned trend functions of time for speech signal. Signal Processing, pages 65-78, 1992.
10. L. Rabiner. A tutorial on Hidden Markov Models and selected applications in speech recognition. In Proc. IEEE, volume 77, pages 257-286, 1989.
11. C. Speicher and J. S. Jr. Choosing Effective Laboratory Tests. WB Saunders, 1983.
12. T. Takara, K. Higa, and I. Nagayama. Isolated word recognition using the HMM structure selected by the Genetic Algorithm. In Proc. ICASSP, volume II, pages 967-970, 1997.
13. R. Watson. A Survey of Gesture Recognition Techniques. Technical report, Department of Computer Science, Trinity College, Dublin, UK, 1993.
14. A. D. Wilson and A. F. Bobick. Hidden Markov Models for modeling and recognizing gesture under variation. In Hidden Markov Models: Application in Computer Vision, pages 123-1160. World Scientific press: Singapore ; River Edge, NJ, 2001.
15. H. Yoon, J. Soh, Y. J. Bae, and H. S. Yang. Hand gesture recognition using combined features of location, angle and velocity. In Pattern Recognition 34, volume 7, pages 1491-1501, 2001.