Developing an online steady-state visual evoked potential-based brain-computer interface system using EarEEG

@article{Wang2015DevelopingAO,
  title={Developing an online steady-state visual evoked potential-based brain-computer interface system using EarEEG},
  author={Yu-Te Wang and Masaki Nakanishi and Simon Lind Kappel and Preben Kidmose and Danilo P. Mandic and Yijun Wang and Chung-Kuan Cheng and Tzyy-Ping Jung},
  journal={2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)},
  year={2015},
  pages={2271-2274}
}
  • Yu-Te Wang, M. Nakanishi, +5 authors T. Jung
  • Published 5 November 2015
  • Computer Science, Medicine
  • 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
The purpose of this study is to demonstrate an online steady-state visual evoked potential (SSVEP)-based BCI system using EarEEG. EarEEG is a novel recording concept where electrodes are embedded on the surface of earpieces customized to the individual anatomical shape of users' ear. It has been shown that the EarEEG can be used to record SSVEPs in previous studies. However, a long distance between the visual cortex and the ear makes the signal-to-noise ratio (SNR) of SSVEPs acquired by the… 
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