HCI based on eye movements for unlocking mobile devices

Abstract

This paper addresses the implementation of an eye detection mobile application for unlocking mobile devices using its built camera as an eye tracker. The implementation allows a real-time face and eye detection of a mobile phone user. The idea behind our development was the creation of a preventive model for the benefit and safety of mobile users, including disabled users (e.g., users with arthritis). The product is a visual application that detects the pupils and can simulate the mouse cursor on the screen to unlock the device. Although some screen lock methods have been already developed, our project aims to complement the security in mobile devices. Moreover, with a new mechanism to unlock mobile devices it would offer a more robust alternative in terms of safety of such devices. Evaluation results suggest our implementation is a promising alternative for security in these devices.