{"title":"An auditory P300-based brain-computer interface using Ear-EEG","authors":"Netiwit Kaongoen, Sungho Jo","doi":"10.1109/IWW-BCI.2018.8311519","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":6537,"journal":{"name":"2018 6th International Conference on Brain-Computer Interface (BCI)","volume":"5 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2018-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 6th International Conference on Brain-Computer Interface (BCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWW-BCI.2018.8311519","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
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.