A Low-cost Real-time Wheelchair Navigation System Using Electrooculography

In this paper an EOG based low-cost real-time wheelchair navigation system for severely disabled people is presented using signal processing techniques, bio-amplifiers and a microcontroller driven servomotor. All the digital signal processing and execution of commands were performed utilizing a microcontroller which drastically reduced the total cost of this project. The servomotor has been synchronized with the computed eye direction resulted from processing the horizontal EOG signal. The speed of the wheelchair was also regulated with the same EOG signal. Performed tests indicated that in 98.5% of trials, subjects could navigate to their targets in presence of simple obstacles in their first attempts which confirm the feasibility of the proposed system.