Visual recognition of gestures using dynamic naive Bayesian classifiers

Proceedings - IEEE International Workshop on Robot and Human Interactive Communication

Volumn , Issue , 2003, Pages 133-138

  Avilés Arriaga, Héctor Hugo ^a   Sucar, Luis Enrique ^a   Mendoza, Carlos Eduardo ^a   Vargas, Bianca ^a  

^a SCHOOL OF ENGINEERING AND SCIENCES   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

BETTER PERFORMANCE; NAIVE BAYESIAN CLASSIFIER; NAIVE CLASSIFIERS; ONLINE LEARNING; RECOGNITION MODELS; SPATIAL RELATIONSHIPS; TRAINING SAMPLE; VISUAL RECOGNITION;

COMMUNICATION; HIDDEN MARKOV MODELS; SAMPLING;

GESTURE RECOGNITION;

EID: 55849107889     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROMAN.2003.1251821     Document Type: Conference Paper

References (24)

1. David Kortenkamp, Eric Huber, and Peter Bonasso. Recognizing and interpreting gestures on a mobile robot. In Proceedings of the AAAI-96, AAAI Press/The MIT Press, pages 915-921, 1996.
2. Stefan Waldherr. Gesture recognition on a mobile robot. Master's thesis, Carnegie Mellon University. School of Computer Science, 1998.
3. Roger E. Kahn. Perseus: An Extensible Vision System for Human-Machine Interaction. PhD thesis, The University of Chicago, 1995.
4. James W. Davis and Aaron F. Bobick. The representation and recognition of action using temporal templates. Technical Report 402, MIT Vision and Modeling Group, 1996.
5. Andrea Corradini and Horst-Michael Gross. Implementation and comparison of three achitectures for gesture recognition. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '2000), Volume IV, pages 2361-2364, 2000.
6. Andrea Corradini. Dynamic gestures as an input device for directing a mobile platform. In ICCV Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems, pages 82-89, 2001.
7. Thad Eugene Starner. Visual recognition of american sign language using hidden markov models. Master's thesis, MIT. Program in Media Arts and Science, 1995.
8. Jr. Donald O. Tanguay. Hidden markov models for gesture recognition. Master's thesis, MIT. Department of Electrical Engineering and Computer Science, 1995.
9. Stefan Becker. Sensei: A real-time recognition, feedback and training system for t'ai chi gestures. Master's thesis, MIT. Program in Media Arts and Science, 1997.
10. Andrew David Wilson. Adaptive Models for the Recognition of Human Gestures. PhD thesis, MIT Program in Arts and Sciences, 2000.
11. Vladimir Ivan Pavlovic. Dynamic bayesian networks for information fusion with applications to human-computer interfaces. PhD thesis, University of Illinois at Urbana-Champaign, 1999.
12. Lawrence R. Rabiner. Readings in Speech Recognition, chapter A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition. Morgan Kaufmann Publishers, 1990.
13. Christian Borgelt and Rudolf Kruse. Graphical Models. Methods for Data Analysis and Mining. John Wiley & Sons, E. U. A., 2002.
14. Donald Michie, D.J. Speigel Halter, and C.C. Taylor, editors. Machine Learning, Neural and Statistical Classification. Ellis Horwood Series In Artificial Intelligence, England, 1994.
15. Tom M. Mitchell. Machine Learning. McGraw Hill Series in Computer Science, U.S.A. 1997.
16. Héctor Avilés, Enrique Sucar, and Victor Zárate. Dynamical arm gestures visual recognition using hidden markov models. In 1BERAMIA/SBIA, Workshop on Probabilistic Reasoning in Artificial Intelligence, 2000.
17. Michael J. Jones and James M. Rehg. Statistical color models with application to skin detection. Technical Report CRL 98/11; Cambridge Research Laboratory, 1996.
18. Stereo Active Visual Interface Group. Available at: http:/www.cs.toronto. edu/~herpers/projects.html, May 28, 1999.
19. Héctor Avilés. Reconocimiento de gestos dinámicos aplicado a robots móviles. Master's thesis, Institute Tecnológico y de Estudios Superiores de Monterrey. Campus Cuernavaca, 2000.
20. Pat Langley, Wayne Iba, and Kevin Thompson. An analysis of Bayesian classifiers. In National Conference on Artificial Intelligence, pages 223-228, 1992.
21. M. Pazzani. Searching for dependencies in bayesian classifiers. In Fifth International Workshop on AI and Statistics, 1995.
22. Nir Friedman, Dan Geiger, and Moises Goldszmidt. Bayesian network classifiers. Machine Learning, 29(2-3): 131-163, 1997.
23. Rocío Díaz de León and Luis Enrique Sucar. Continuous activity recognition with missing data. In International Conference on Pattern Recognition (ICPR '02), pages 92-97. Morgan Kaufmann Publishers, 2002.
24. Judea Pearl. Probabilistic Reasoning in Intelligent Systems. Morgan, 1988.