Wheelchair Neuro Fuzzy Control Using Brain Computer Interface

The design and implementation of a real-time computer control of an electric wheelchair for physically disabled people is presented. This design is based on brain-computer interface that receives and processes the electroencephalographic (EEG) signals to classify the required commands to drive the wheelchair. Neuro-Fuzzy technique has been used in the controller design for actuating motors of the wheelchair. This controller depends on real data received from obstacle avoidance sensors and brain computer interface. By combining the concepts of soft-computing and mechatronics, the implemented wheelchair has become more sophisticated and gives people more mobility.