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 human walking. This study considerably facilitates the process of bridging laboratory-oriented BCI demonstrations into mobile EEG-based systems for real-life environments. © 2013 Springer-Verlag.
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CITATION STYLE
Lin, Y. P., Wang, Y., Wei, C. S., & Jung, T. P. (2013). A mobile brain-computer interface for freely moving humans. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8008 LNCS, pp. 448–453). https://doi.org/10.1007/978-3-642-39342-6_49
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