DocumentCode :
3221953
Title :
Coping with hand-hand overlapping in bimanual movements
Author :
Saeed, Anwar ; Niese, Robert ; Al-Hamadi, Ayoub ; Michaelis, Bernd
Author_Institution :
Inst. for Electron., Signal Process. & Commun. (IESK), Otto-von-Guericke-Univ. Magdeburg, Magdeburg, Germany
fYear :
2011
fDate :
16-18 Nov. 2011
Firstpage :
238
Lastpage :
243
Abstract :
Hand gesture recognition plays a major role in the Human Computer Interaction (HCI), since it could be employed in many applications as a communication language. Nearly all hand gestures used in HCI are created using one hand; while other applications use gestures produced by two hands as long as both hands do not cross each other. This constraint in the bimanual gestures is due to the difficulties in reacquiring both hands correctly at the end of the hand-hand occlusion, which is addressed in this paper. Two policies, in analogy to the greedy and Hungarian algorithms, are used to solve the data association issue at the end of the hand-hand occlusion period given that the appearance of both hands does not change entirely during the overlapping period.
Keywords :
computer graphics; gesture recognition; greedy algorithms; human computer interaction; sensor fusion; HCI; Hungarian algorithm; bimanual gesture; bimanual movement; communication language; data association; greedy algorithm; hand gesture recognition; hand-hand occlusion; hand-hand overlapping; human computer interaction; Conferences; Feature extraction; Image color analysis; Shape; Silicon; Skin; Tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal and Image Processing Applications (ICSIPA), 2011 IEEE International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4577-0243-3
Type :
conf
DOI :
10.1109/ICSIPA.2011.6144134
Filename :
6144134
Link To Document :
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