1. Gesture data modeling and classification based on critical points approximation;Cholewa;Comput. Recognition Systems,2011
2. Głomb, P., Romaszewski, M., Opozda, S., Sochan, A., 2011. Choosing and modeling the hand gesture database for a natural user interface. In: Efthimiou, E., Kouroupetroglou, G., Fotinea, S.-E. (Eds.), Gesture and Sign Language in Human–Computer Interaction and Embodied Communication, revised selected papers. LNCS/LNAI Vol. 7206 Ninth International Gesture Workshop – GW 2011, May 2011, Athens, Greece, Springer, 2012.
3. Gunter, S., Bunke, H., 2003. Optimizing the number of states training iterations and gaussians in an HMM-based handwritten word recognizer. In: Proceedings of the Seventh International Conference on Documents Analysis and Recognition, vol. 1, pp. 472–476.
4. Hidden Markov models in computational biology applications to protein modeling;Krogh;J. Mol. Biol.,1994
5. Liu, N., Lovell, B.C., 2003. Gesture classification using hidden Markov models and Viterbi path counting. In: VIIth Digital Image Computing: Techniques and Applications