Abstract
In the process of eye tracking , a subject may focus on a point for a longer time, we call it fixation points, the process between fixation points is a saccade. Here, we investigate into the correlation between eye-tracking data and EEG(Electroencephalogram) rhythms and aim to explore the EEG rhythm feature related to eye fixation. Furtherly, we try to design a new brain-computer interface system to predict the regions of interest when viewing nature images using EEG rhythms. This BCI system can be used on mobile devices for fixation detection. Our experiments show alpha-band EEG rhythm is related to fixations and EEG rhythm which makes slight contribution to ROI prediction.
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