An electrooculogram (EOG) based control system successfully processed eye displacement signals in real time to generate appropriate control signals for a mobile assistive robot.
An EOG-based control system can effectively interpret intent from eye displacement to generate control signals for assistive devices like mobile robots.
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
Wijesoma et al. (Sat,) conducted a other in Severely disabled with extremely limited peripheral mobility. Electrooculogram (EOG) based control system was evaluated on Effectiveness of generating appropriate control signals to the assistive device. An electrooculogram (EOG) based control system successfully processed eye displacement signals in real time to generate appropriate control signals for a mobile assistive robot.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: