Evaluation of EEG features during overt visual attention during neurofeedback game

Brain-Computer Interface (BCI) is an emerging modality for direct communication between brain and computer, bypassing brain's conventional communication pathway of the nerves and muscles. Though BCI investigations have been targeting on the development of assistive devices for paralyzed patients initially, recent BCI research exploits the possibilities of BCI in entertainment and cognitive-skill enhancement through neurofeedback games also. Neurofeedback is an effective tool for boosting cognitive skills of both healthy and attention-deficit people based on real-time feedback and self-regulation of brain signals. This paper investigates the feasibility of employing EEG features related to sustained attention and overt visual attentionshift towards left or right visual periphery from a fixation point in the context of a neurofeedback game. Three healthy subjects have successfully played the proposed neurofeedback game by selecting the targets solely by EEG features related to overt visual attention, offering an average accuracy of 72.22%.