Title :
Computerized recognition of human gestures
Author :
Bulzacki, Adrian ; Zhao, Lian ; Guan, Ling ; Raahemifar, Kaamran
Author_Institution :
Dept. of Eng., Ryerson Univ., Toronto, ON
Abstract :
This paper summarizes the concepts behind gesture recognition systems, both static and dynamic, and explains the various elements that make gesture recognition possible. Different approaches to the gesture recognition problem are evaluated. Recommended approaches based on past research will be summarized. A brief summary of a new system being currently designed by the authors is presented.
Keywords :
gesture recognition; hidden Markov models; computerized human gesture recognition; hidden Markov model; image processing; Decision support systems; Humans; gesture recognition; hidden Markov model; image processing;
Conference_Titel :
Electrical and Computer Engineering, 2008. CCECE 2008. Canadian Conference on
Conference_Location :
Niagara Falls, ON
Print_ISBN :
978-1-4244-1642-4
Electronic_ISBN :
0840-7789
DOI :
10.1109/CCECE.2008.4564687
