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Proceedings Paper

Interacting with mobile devices by fusion eye and hand gestures recognition systems based on decision tree approach
Author(s): Hanene Elleuch; Ali Wali; Anis Samet; Adel M. Alimi
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Paper Abstract

Two systems of eyes and hand gestures recognition are used to control mobile devices. Based on a real-time video streaming captured from the device's camera, the first system recognizes the motion of user's eyes and the second one detects the static hand gestures. To avoid any confusion between natural and intentional movements we developed a system to fuse the decision coming from eyes and hands gesture recognition systems. The phase of fusion was based on decision tree approach. We conducted a study on 5 volunteers and the results that our system is robust and competitive.

Paper Details

Date Published: 17 March 2017
PDF: 5 pages
Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 103410D (17 March 2017); doi: 10.1117/12.2269010
Show Author Affiliations
Hanene Elleuch, Univ. de Sfax (Tunisia)
Ali Wali, Univ. de Sfax (Tunisia)
Anis Samet, SiFAST, Software and Computing Services Co. (Tunisia)
Adel M. Alimi, Univ. de Sfax (Tunisia)


Published in SPIE Proceedings Vol. 10341:
Ninth International Conference on Machine Vision (ICMV 2016)
Antanas Verikas; Petia Radeva; Dmitry P. Nikolaev; Wei Zhang; Jianhong Zhou, Editor(s)

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