EOG based control of mobile assistive platforms for the severely disabled

Abstract

Assistive robots are increasingly being used to improve the quality of the life of disabled or handicapped people. In this paper a complete system is presented that can be used by people with extremely limited peripheral mobility but having the ability for eye motor coordination. The electrooculogram signals (EOG) that results from the eye displacement in the orbit of the subject are processed in real time to interpret intent and hence generate appropriate control signals to the assistive device. The effectiveness of the proposed methodology and the algorithms are demonstrated using a mobile robot for a limited vocabulary