Robust Electrooculography-based Eye-Gaze Tracking under Varying Illumination Conditions (EyeTrack)

Project Coordinator: Dr Nathaniel Barbara, Centre for Biomedical Cybernetics                                              Project Co-Investigator: Prof. Kenneth P. Camilleri, Centre for Biomedical Cybernetics
Project Co-Investigator: Dr Tracey Camilleri, Department of Systems and Control Engineering

The EyeTrack project focuses on electrooculography (EOG) as an eye movement recording technique that may be used for the development of human-computer interface (HCI) systems. Through EOG, electrical bio-signals that are generated by the human eyes are captured using four electrodes mounted in periorbital positions on the face, which may then be processed to estimate the gaze. One of the aims of this project is to challenge the state-of-the-art four-electrode setup and investigate how different electrode configurations and bipolar channel combinations affect the resulting gaze estimation accuracy. Furthermore, the EyeTrack project aims to investigate the susceptibility of the EOG signal characteristics to the illumination conditions.