Steady-state visual evoked potential (SSVEP) is a well-established paradigm of brain-computer interface (BCI) where the interaction between the user and a controlled device is achieved via brainwave activities and visual stimuli. Although SSVEP-based BCIs are known to have high information transfer rate (ITR), wrong feedback reduces the performance of these applications. In this paper, we investigate the possibility of enhancing SSVEP -based BCI applications by incorporating the user’s emotions. To this end, an SSVEP-based BCI application is designed and implemented where the user has to steer a simulated car moving through a maze to reach a target position. Using standard flickering checkerboards, the user has to select one of two commands, turn right or turn left. After each selection, a visual virtual feedback is shown and the emotional state of the user is estimated from recorded electroencephalogram (EEG) brain activities. This estimated emotion could be used to automatically confirm or cancel the selected command and therefore improve the quality of executed commands.
Comments: 10 Pages. International Journal of Innovative Research in Computer and Communication Engineering
[v1] 2017-01-08 22:39:04
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