Design and Implementation of a Real-time Brain-Computer Interface for an Electric Wheelchair

The field of Brain-Computer Interface (BCI) is expanding quickly and has numerous applications in various areas including medical, gaming, and everyday living. This paper presents a BCI-controlled wheelchair with Motor Imagery (MI) mental commands for turning right and left. The Degree of Freedom is 4; going forward, stopping, turning left and right. To record the raw EEG data Muse S headband is employed and to classify the mental commands Linear Discriminant Analysis (LDA) algorithm is used. 6 subjects trained extensively and tested the proposed BCI system in 2 experiments for 100 repetitions each. The experiments are conducted in an office environment and the results demonstrated that the participants are able to successfully adapt and operate the BCI-controlled wheelchair with a high level of accuracy and precision.