Dr. Sreeja S R

Over the years the way humans interact with computers has evolved and made remarkable progress, from punch cards to swipe cards to voice control systems. Nevertheless, the human-computer interaction (HCI) system designed for the people with special needs lags behind as the input mechanism for HCI systems needs some form of motor activity. With the help of brain-computer interaction (BCI), there is a possibility to provide hands-free touch-free interaction as the next generation of HCI making use of brain activity. My thesis work is on a step towards developing a BCI system for people with disabilities. The processing of a BCI system consists of four main components: tasks performed by the subject, data acquisition, signal processing and analysis, and the device response. While pursuing my PhD, I have concentrated mainly on EEG signal processing, data representation and classification algorithms using machine learning and sparse optimization techniques.