Abstract: Recent advances in mobile electroencephalogram (EEG) systems featuring dry electrodes and wireless telemetry have promoted the applications of brain-computer interfaces (BCIs) in our daily life. In the field of neuroscience, understanding the underlying neural mechanisms of unconstrained human behaviors, i.e. freely moving humans, is accordingly in high demand. The empirical results of this study demonstrated the feasibility of using a mobile BCI system to detect steady-state visual-evoked potential (SSVEP) of the participants during natural hu...
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Topics: 
Human–computer interaction
Artificial intelligence