Recognition of head gestures using Hidden Markov Models International Conference on Pattern Recognition

@misc{citeulike:2444209, abstract = {This paper explores the use of Hidden Markov Models (HMMs) for the recognition of head gestures. A gesture corresponds to a particular pattern of head movement. The facial plane is tracked using a parameterized model and the temporal sequence of three image rotation parameters are used to describe four gestures. A dynamic vector quantization scheme was implemented to transform the parameters into suitable input data for the HMMs. Each model was trained by the iterative Baum-Welch procedure...}, author = {Morimoto, C. and Yacoob, Y. and Davis, L. }, citeulike-article-id = {2444209}, keywords = {gestures, hci, head, interaction, usability}, posted-at = {2008-02-28 16:55:53}, priority = {2}, title = {Recognition of head gestures using Hidden Markov Models International Conference on Pattern Recognition}, url = {http://citeseer.ist.psu.edu/morimoto96recognition.html}, year = {1996} }

TY - GEN ID - citeulike:2444209 L3 - citeulike-article-id:2444209 TI - Recognition of head gestures using Hidden Markov Models International Conference on Pattern Recognition N2 - This paper explores the use of Hidden Markov Models (HMMs) for the recognition of head gestures. A gesture corresponds to a particular pattern of head movement. The facial plane is tracked using a parameterized model and the temporal sequence of three image rotation parameters are used to describe four gestures. A dynamic vector quantization scheme was implemented to transform the parameters into suitable input data for the HMMs. Each model was trained by the iterative Baum-Welch procedure... KW - gestures KW - hci KW - head KW - interaction KW - usability AU - Morimoto, C AU - Yacoob, Y AU - Davis, L PY - 1996/// UR - http://citeseer.ist.psu.edu/morimoto96recognition.html ER -