Color Detection with Brain Wave (Mind wave) For Disabilities People Using FFT and Deep Learning Method

The purpose of this study is helping persons with disabilities for moving a wheelchair using brain waves, the wheelchair will move depending on the watched color by user. There are three colors to be detected by the system; they were red, green and blue. This tool is called the BWD (Brain Wave for Disabilities). Brain waves were received with the neurosky Mind wave Headset to produce electroencephalograph (EEG) waves. EEG waves go through the extraction process using the FFT algorithm according to the rules of nyquist frequency. Each color was taken as many as 50 times for this experimental case. Each retrieved data in one color has 500 data points. Then the data points are used as input to the classification method called Deep Learning algorithm. The results of the classification are used to move the DC motor in a wheelchair. The wheelchair will move according to the color seen by the subject. The success rate in this research was 66, 67%.