The Effect of Multiple Training Sequences on HMM Classification of Motion Capture Gesture Data
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Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-20320-6_38.pdf
Reference12 articles.
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2. Cholewa, M., Głomb, P.: Gesture data modeling and classification based on critical points approximation. Accepted for 7th International Conference on Computer Recognition Systems CORES 2011 (2011)
3. Elmezain, M., Al Hamadi, A., Appenrodt, J., Michaelis, B.: A hidden markov model-based continuous gesture recognition system for hand motion trajectory. In: ICPR, pp. 1–4 (2008)
4. Głomb, P., Romaszewski, M., Opozda, S., Sochan, A.: Choosing and modeling gesture database for natural user interface. Accepted for 7th International Conference on Computer Recognition Systems CORES 2011 (2011)
5. Linde, Y., Buzo, A., Gray, R.: An algorithm for vector quantizer design. IEEE Transactions on Communications 28(1), 84–95 (1980)
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3. Gesture Data Modeling and Classification Based on Critical Points Approximation;Computer Recognition Systems 4;2011
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