DocumentCode
2133124
Title
Computerized recognition of human gestures
Author
Bulzacki, Adrian ; Zhao, Lian ; Guan, Ling ; Raahemifar, Kaamran
Author_Institution
Dept. of Eng., Ryerson Univ., Toronto, ON
fYear
2008
fDate
4-7 May 2008
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Computer Engineering, 2008. CCECE 2008. Canadian Conference on
Conference_Location
Niagara Falls, ON
ISSN
0840-7789
Print_ISBN
978-1-4244-1642-4
Electronic_ISBN
0840-7789
Type
conf
DOI
10.1109/CCECE.2008.4564687
Filename
4564687
Link To Document