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
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;
Conference_Titel :
Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-2793-2
Electronic_ISBN :
1062-922X
DOI :
10.1109/ICSMC.2009.5346342
