An Auditory P300-based Brain-Computer Interface Using Ear-EEG

Cited 7 time in webofscience Cited 0 time in scopus
  • Hit : 240
  • Download : 0
Ear-EEG is an EEG acquisition method that record EEG signal from inside the user's ear. This study fabricated an ear-EEG device and tested its ability to detect alpha activity when the subject is in a wakeful relaxation state and its performance in binary auditory P300 BCI system. The ear-EEG fabricated in this study were able to detect the alpha activity from the subjects. In auditory P300 experiment, the highest accuracy and ITR was 95.61% and 2.9685 bits/min, respectively. The surveys given to the participants point out that the ear-EEG devices in this work were easily wearable and very comfortably. These results suggest that ear-EEG is a promising alternative EEG-acquisition method that is more user-friendly and suitable for BCI system that aims for daily-life usage comparing to the conventional scalp-EEG method.
Publisher
IEEE Brain
Issue Date
2018-01-16
Language
English
Citation

6th International Winter Conference on Brain-Computer Interface (BCI), pp.134 - 137

DOI
10.1109/IWW-BCI.2018.8311519
URI
http://hdl.handle.net/10203/242512
Appears in Collection
CS-Conference Papers(학술회의논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 7 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0