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
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