Brain-Computer Interface (BCI) research are emerging in the last few years providing non-invasive, wireless and low-cost ElectroEncephaloGraphy (EEG) devices. The increasing study of neurosciences and the need to respond to specific human brain diseases are two important factors to this evolution.
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Saturday, April 16, 2016
BCI by Electrical Cortex Activity: Challenges in Creating a Cognitive System for Mobile Devices Using SSVEP
Conference: DoCEIS2016 - Technological Innovation for Cyber-Physical Systems, Portugal Book Title: Technological Innovation for Cyber-Physical Systems DOI:10.1007/978-3-319-31165-4_14
Abstract: The research field of Brain-Computer Interfaces (BCI) emerged in an attempt to enable communication between paralyzed patients and technology. Identifying an individual’s mental state, through his brain’s electric activity, a typical BCI system assigns to it a particular action in the computer. It is known that when the visual cortex is stimulated with a certain frequency, it shows activity with the same frequency. This Steady-State Visually Evoked Potential (SSVEP) activity can be used to achieve the aforementioned communication goal. In this work, we first analyze the spontaneous electrical activity of the brain, to distinguish two mental sates (concentration / meditation). Then, following an SSVEP type of approach, we divide the stimulating screen in four areas, each of which flickering at a distinct frequency. By observing the responding frequency from the occipital lobe of the subject, we can then estimate the 2 bit decision he made. We observe that such a setup is efficient for real time BCI, and can be easily integrated in mobile devices. Besides, the user is able to change voluntarily her/his decisions, interacting with the system in a natural manner.