Title :
On HMM static hand gesture recognition
Author :
Radu-Laurenţiu Vieriu;Bogdan Goraş;Liviu Goraş
Author_Institution :
Department of Electronics, “
fDate :
6/1/2011 12:00:00 AM
Abstract :
A real time static isolated gesture recognition application using a Hidden Markov Model approach with features extracted from gestures´ silhouettes is presented. Nine different hand poses with various degrees of rotation are considered. The system, both simple and effective, uses color images of the hands to be recognized directly from the camera and is capable of processing 23 frames per second on a Quad Core Intel Processor.
Keywords :
"Hidden Markov models","Feature extraction","Gesture recognition","Databases","Training","Image segmentation","Real time systems"
Conference_Titel :
Signals, Circuits and Systems (ISSCS), 2011 10th International Symposium on
Print_ISBN :
978-1-61284-944-7
DOI :
10.1109/ISSCS.2011.5978699
