A Performance Evaluation of HMM and DTW for Gesture Recognition

Author:

Carmona Josep Maria,Climent Joan

Publisher

Springer Berlin Heidelberg

Reference9 articles.

1. Appenrodt, J., Elmezain, M., Al-Hamadi, A., Michaelis, B.: A hidden markov model-based isolated and meaningful hand gesture recognition. International Journal of Electrical, Computer, and Systems Engineering 3, 156–163 (2009)

2. ten Holt, G.A., Reinders, M.J.T., Hendriks, E.A.: Multi-Dimensional Dynamic Time Warping for Gesture Recognition. In: Thirteenth Annual Conference of the Advanced School for Computing and Imaging (2007)

3. Lee, H., Kim, J.: An HMM-based threshold model approach for gesture recognition. IEEE Trans. Pattern Analysis and Machine Intelligence 21(10), 961–973 (1999)

4. Pavlovic, V.I., Sharma, R., Huang, T.S.: Visual interpretation of hand gestures for human computer interaction. IEEE Trans. Pattern Anal. Mach. Intell. 19(7), 677–695 (1997)

5. Rabiner, L.R.: A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition. Proc. IEEE 77, 257–286 (1989)

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