Paper
17 March 2017 Interacting with mobile devices by fusion eye and hand gestures recognition systems based on decision tree approach
Hanene Elleuch, Ali Wali, Anis Samet, Adel M. Alimi
Author Affiliations +
Proceedings Volume 10341, Ninth International Conference on Machine Vision (ICMV 2016); 103410D (2017) https://doi.org/10.1117/12.2269010
Event: Ninth International Conference on Machine Vision, 2016, Nice, France
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.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hanene Elleuch, Ali Wali, Anis Samet, and Adel M. Alimi "Interacting with mobile devices by fusion eye and hand gestures recognition systems based on decision tree approach", Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 103410D (17 March 2017); https://doi.org/10.1117/12.2269010
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Cited by 3 scholarly publications.
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KEYWORDS
Gesture recognition

Eye

Mobile devices

Computing systems

Human-computer interaction

Cameras

Video

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