Implementation of Single Channel EEG Based Brain Computer Interface

Brain Computer Interface (BCI) is a device that enables use of brain’s neural activity to communicate with others or other machines without direct physical contact. Brain Computer interface was initially used to help people affected by motor neuron diseases. BCI is accomplished through Electroencephalography (EEG) that measures the electrical activity produced by the neurons in the brain. The existing BCI solutions are really expensive and complex so we wanted to find a way to build a simple and cost effective BCI. A single channel EEG acquisition system was designed and implemented on few healthy subjects. We used Support Vector Machine algorithm to train and classify the signals obtained from the subjects and obtained an accuracy of 70%.