標題: | Toward Non-Hair-Bearing Brain-Computer Interfaces for Neurocognitive Lapse Detection |
作者: | Wei, Chun-Shu Wang, Yu-Te Lin, Chin-Teng Jung, Tzyy-Ping 電子工程學系及電子研究所 腦科學研究中心 Department of Electronics Engineering and Institute of Electronics Brain Research Center |
公開日期: | 2015 |
摘要: | Recent advances in mobile electroencephalogram (EEG) acquisition based on dry electrodes have started moving Brain-Computer Interface (BCI) applications from well-controlled laboratory settings to real-world environments. However, the application mechanisms and high impedance of dry electrodes over the hair-covered areas remain challenging for everyday use of BCI. In addition, whole-scalp recordings are not always necessary or applicable due to various practical constrains. Therefore, alternative montages for EEG recordings to meet the everyday needs are in-demand. Inspired by our previous work on measuring non-hair-bearing steady state visual evoked potentials for BCI applications, this study explores the feasibility and efficacy of detecting cognitive lapses of participants based on EEG signals collected from the non-hair-bearing areas. Study results suggest that informative EEG features associated with lapses could be assessed from non-hair-bearing areas with comparable accuracy obtained from the whole-scalp EEG. The design principles, validation processes and promising findings reported in this study may enable and/or facilitate numerous BCI applications in real-world environments. |
URI: | http://hdl.handle.net/11536/134302 |
ISBN: | 978-1-4244-9270-1 |
ISSN: | 1557-170X |
期刊: | 2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) |
起始頁: | 6638 |
結束頁: | 6641 |
顯示於類別: | 會議論文 |