Controlling the Direction of Wheelchair Movement Using Raspberry-Pi Based Brain Signals

This study discusses the processing of EEG and EOG signals for the classification of wheelchairs movement. Brain signals are obtained with NeuroSky mind wave sensor; this sensor emits attention, meditation, and RAW data values. Attention value will be used for forward movement, meditation is used for backward movement, while RAW data will be used for left, right, and stop movements. The test results of forward orders have a success rate of 92%, turn right 96%, turn left 100%, stop 96%, and backward 76%.