DocumentCode
2572367
Title
Finger recognition for hand pose determination
Author
Parker, J.R. ; Baumback, Mark
Author_Institution
Fac. of Fine Arts, Univ. of Calgary, Calgary, AB, Canada
fYear
2009
fDate
11-14 Oct. 2009
Firstpage
2492
Lastpage
2497
Abstract
Hand pose and gesture recognition methods have been based on many properties of hand images, but using finger recognition is unique. Here we describe hand pose from finger recognition, its limitations and its advantages. The implementation is being used for some real applications, including interfaces and computer games, and has a success rate of over 98%.
Keywords
fingerprint identification; gesture recognition; pose estimation; finger recognition; gesture recognition; hand pose determination; Application software; Cameras; Computer interfaces; Computer vision; Fingers; Humans; Image recognition; Image segmentation; Skin; User interfaces; gesture; hand pose; image processing; vision;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
Conference_Location
San Antonio, TX
ISSN
1062-922X
Print_ISBN
978-1-4244-2793-2
Electronic_ISBN
1062-922X
Type
conf
DOI
10.1109/ICSMC.2009.5346342
Filename
5346342
Link To Document