Brain-computer interface for thought controlled mobility
Brain-Computer Interfaces (BCI) is a developing area of technology which aims to provide a method of controlling external devices using human thoughts. Such technology has many potential uses across a wide range of industries. A possible application in the health sector is aiding the rehabilitation of patients with various neuro-muscular disabilities. Our BCI system uses an Emotiv EPOC headset to acquire EEG data through 14 electrode channels. Data is acquired in 2-second epochs with a 1- second overlap. The sampling rate of the headset is 128 Hz, giving 256 samples for each channel per epoch. Our final solution employs a band-pass filter to remove parts of the signal spectrum not used in the feature extraction process. The filter was designed with a pass-band from 8 to 40 Hz.