Eye Tracking Based Directional Control System using Mobile Applications

Abstract

Recently, eye tracking system occupies a wide area in the researching fields. Different applications were produced to tackle numerous problems in real-time systems. This paper proposes a directional control system based on human eye tracking strategy using a mobile application. The introduced system can control any electric device power or the movement direction for the mobile objects, such as cars, robots, and wheelchairs. The proposed mobile application, which applied to an Android smartphone, detects and tracks the human eye depending on Viola-Jones based Haar-liked features cascade classifiers algorithm. Ultimately, it estimate the eye movement direction and the blinking action. The control system includes Raspberry Pi III, which control the ON/OFF of five LEDs connected to it representing the four eye movement directions and the blinking action. The detected eye actions by the mobile application are transferred via a wireless channel (Wi-Fi) to the Raspberry Pi for controlling. The Raspberry Pi controls the LEDs status as a prototype applicable to any other device or moving object.