Computer control by hand gestures

Intidhar Jemel; Ridha Ejbali; Mourad Zaied

doi:10.1117/12.2229619

8 December 2015 Computer control by hand gestures

Intidhar Jemel, Ridha Ejbali, Mourad Zaied

Proceedings Volume 9875, Eighth International Conference on Machine Vision (ICMV 2015); 987527 (2015) https://doi.org/10.1117/12.2229619
Event: Eighth International Conference on Machine Vision, 2015, Barcelona, Spain

Abstract

This work fits into the context of the interpretation of automatic gestures based on computer vision. The aim of our work is to transform a conventional screen in a surface that allows the user to use his hands as pointing devices. These can be summarized in three main steps. Hand detection in a video, monitoring detected hands and conversion paths made by the hands to computer commands. To realize this application, it is necessary to detect the hand to follow. A classification phase is essential, at the control part. For this reason, we resorted to the use of a neuro-fuzzy classifier for classification and a pattern matching method for detection.

Citation Download Citation

Intidhar Jemel, Ridha Ejbali, and Mourad Zaied "Computer control by hand gestures", Proc. SPIE 9875, Eighth International Conference on Machine Vision (ICMV 2015), 987527 (8 December 2015); https://doi.org/10.1117/12.2229619

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