Wearable hybrid brain-computer interface for daily life application

We present the development of a wearable hybrid interface based on noninvasive brain signal detection and eye-gaze tracking, and its evaluation through scenarios based on real-world application. Our system combines a low-cost Electroencephalogram (EEG) headset with a custom-built eye-gaze tracker to determine the human´s intent and track eye movements. The proposed interface allows users to pinpoint an electronic item of interest by gazing at it and turn on the object by concentrating. We show how our system can be applied as a tool in real-world environments. Seven healthy subjects volunteered to examine the performance of our interface. Fitts´ law was applied for the evaluation and throughput (TP) which was an ISO standard for evaluation of pointing devices was derived. The experimental results demonstrate the potential of the proposed interface to fit into daily life.