Brain-computer interfacing for bio-perceptive and rehabilitative applications

Abstract

This paper offers a brief overview of the tutorial presentation to be offered at the International Conference on Computer, Communication, Control and Information Technology (C3IT'2015) by the first author. It covers foundations to applications of the Brain-Computer Interfacing research undertaken by a research group at Artificial Intelligence and Brain Imaging Laboratory of Jadavpur University, located in the department of Electronics and Tele-Communication Engineering. The coverage includes four important realizations using EEG Brain-Computer interfacing. The first realization includes EEG-driven position control of robotic links to move the end-affecter at the desired goal position by mental thoughts of the subject only. The second realization includes perceptual-ability measurement of subjects from their EEG response to smell stimuli. The third realization attempts to identify the cognitive failures in driving. The possible failures recognized from EEG signals of the driver includes failure due to lapse of visual attention, cognitive planning and motor execution to accelerate, brake or control the angular motion of the steering wheel. The last part of tutorial aims at detecting neuronal connectivity among the brain lobes during arousal of emotion of subjects.