A Real-Time Eye Gesture Recognition System Based on Fuzzy Inference System for Mobile Devices Monitoring

Hanene Elleuch, Ali Wali, Anis Samet, Adel M. Alimi

Abstract: In this paper, we proposed a new system of mobile human-computer interaction based on eye gestures. This system aims to control and command mobile devices through the eyes for the purpose of providing an intuitive communication with these devices and a flexible usage with all contexts that a user can be situated. This system is based on a real-time streaming video captured from the front-facing camera without needing any additional equipment. The algorithm aims in the first time to detect user’s face and their eyes in the second time. The eyes gesture recognition is based on fuzzy inference system. We deployed this algorithm on an android-based tablet and we asked 8 volunteers to test it. The obtained results proved that this system has promising and competitive results.