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EEG-based BCI

Team members


Jongsu Kim

Dojin Heo


     Our study aims at developing electroencephalography (EEG) based Brain-computer interface (BCI) for controlling home appliances. BCI enables users to communicate with external worlds via brain activity without using muscles and our BCI system especially focuses on controlling home appliances. In order to building a usable system, our research interests include not only figuring out the best EEG features representing the users’ intention and decoding model for improving the performance of the system, but also the effect of environment or user’s state on the performance of BCI, the environmental effect on the user’s state while they using the BCI system, the optimal design of stimulus paradigm, etc.

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