Title :
A man-machine communication system based on the visual analysis of dynamic gestures
Author :
Gastaldi, Giulia ; Pareschi, Alessandro ; Sabatini, Silvio P. ; Solari, Fabio ; Bisio, Giacomo M.
Author_Institution :
Dept. of Biophys. & Electron. Eng., Genoa Univ., Genova, Italy
Abstract :
A perceptual human-machine interface based on visual appearance of hand movements is presented. Gestures are defined as the temporal evolution of 3D poses the of user´s hand. Each gesture is described by five temporal sequences corresponding to the time evolution of the stereo depth information at the finger-tips. To this end feature processing directly exploits binocular disparity information considered in its full spatio-temporal dimension. Hidden Markov models are used to represent the statistical properties of the gesture. The high recognition rate obtained by experimental testing on a five gesture alphabet validates the approach.
Keywords :
gesture recognition; hidden Markov models; image sequences; man-machine systems; 3D poses; binocular disparity information; dynamic gestures; gestures; hand movements; hidden Markov models; human-machine interface; man-machine communication system; spatio-temporal dimension; stereo depth information; temporal evolution; visual analysis; visual appearance; Cameras; Frequency estimation; Hidden Markov models; Machine vision; Man machine systems; Manipulator dynamics; Mood; Phase estimation; Principal component analysis; Testing;
Conference_Titel :
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Print_ISBN :
0-7803-9134-9
DOI :
10.1109/ICIP.2005.1530412
