Using Electrooculogram and Electromyogram for powered wheelchair

This paper is concerned with the development of various ways to control the electrically powered wheelchair. For controlling the wheelchair in the paper, biosignal recognition is employed, and the system of recognition signals as Electromyogram (EMG), Electrooculogram (EOG) has been developed. The main purpose of designed wheelchair allows persons with severe disabilities to reliably navigate a power wheelchair without using the hands. In the biosignal recognition using properties of muscle contractions, and eyes movement are computed and identified control commands by comparing the ranges of the parameters to the statistical range information. The user continuously interacts with the wheelchair and controls the speed and the steering using the EOG and EMG. An obstacle avoidance algorithm has also been developed follow the value of the sensor. This wheelchair based on a standard electrical wheelchair includes an onboard computer, sensors and graphical user interface running on a computer.