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Research Article Open Access
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 applicat ion is designed and implemented where the user has to steer a simulated car moving in 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 recoded electroencephalogram (EEG) brain activit ies. This estimated emotion could be used to automatically confirm or cancel the selected command and therefore improve the quality of executed commands .
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Author(s): Hadi Mohsen M. Oqaibi and Anas M. Ali Fattouh
Steady-state visual evoked potential (SSVEP, emotion recognition, brain computer interface (BCI), visual stimuli, Emot iv EPOC neuroheadset, Artificial Intelligence in Electronics,Analysis of Power Electronic Converters,Digital Signal Processing,Satellite Communication,Diagnosis and Sensing Systems,Control Theory and Application,Bio Electronics.