Indian Journal of Science and Technology

Abstract

A Brain Computer Interface (BCI) is at its early stage in their development, but the new significant improvement needs to be taken to help bring back the quality of moving freely in a person with a disability. The BCI is a captivating application which could be used in various fields like Gaming, Education, Industrial and Medical areas. In this paper, EEG-based Brain controlled Wheelchair has been developed using BCI with the help of Neuro sky technology. The Event-Related Potential (ERP) offered the Neurosignal information with the help of P300 component. BCI system consists of a Biosensor to capture the EEG/EMG signals. The signals will be processed by the ThinkGear module in MATLAB. The Level Analyzer Technique is performed on all the training signals and Alpha and Beta waves are extracted for controlling the wheelchair. The command signals are transmitted to the Microprocessor via RF medium. The robotic module designed consists of ARM 7 Microprocessor coupled with DC motor to perform the command. The Eye blinking strength and attention level were used to control the direction of the wheelchair. The wireless BCI system could allow the paralyzed people to control their wheelchair without any complexity, provided it is more enhanced, portable and wearable.
Keywords: Brain Computer Interface, ElectroEncephaloGram, ElectroMyoGram, Level Analyzer Technique, Robotic Wheelchair