TY - GEN
T1 - Changes in Fatigue and EEG Amplitude during a Longtime Use of Brain-Computer Interface
AU - Seo, Seung Pyo
AU - Lee, Min Ho
AU - Williamson, John
AU - Lee, Seong Whan
N1 - Funding Information:
This research was supported in part by the Institute for Information and Communications Technology Promotion (IITP) through the Korea Government (MSIT) under Grant IITP-2015-1107, the SW Starlab support program,and underGrant2017-0-00451,theDevelopment ofCBI-based Brain and Cognitive Computing Technology for Recognizing User’s Intentions using Deep Learning.
PY - 2019/2
Y1 - 2019/2
N2 - Long duration usage of BCI systems may induce a loss of attention in the participant and result in a decrease of system performance. Therefore, investigation of fatigue during longtime usage and its effect on the signal quality are necessary for the use of BCI systems in daily life. In this study, 54 participants used BCI systems for about five hours, and it included the three major BCI paradigms. Participants conducted each paradigm once again at the end of the experiment. We investigated how fatigue changes as the experiment progresses and report the effect of fatigue on signal quality by comparing the first and second sessions. In the result, a significant increase was seen in questionnaire scores as well as in alpha-band power in the resting state. The signal quality decreased slightly in the MI and SSVEP paradigms, but the amplitude of the P300 in the ERP paradigm increased.
AB - Long duration usage of BCI systems may induce a loss of attention in the participant and result in a decrease of system performance. Therefore, investigation of fatigue during longtime usage and its effect on the signal quality are necessary for the use of BCI systems in daily life. In this study, 54 participants used BCI systems for about five hours, and it included the three major BCI paradigms. Participants conducted each paradigm once again at the end of the experiment. We investigated how fatigue changes as the experiment progresses and report the effect of fatigue on signal quality by comparing the first and second sessions. In the result, a significant increase was seen in questionnaire scores as well as in alpha-band power in the resting state. The signal quality decreased slightly in the MI and SSVEP paradigms, but the amplitude of the P300 in the ERP paradigm increased.
KW - Alpha-band power
KW - BCI
KW - Fatigue
KW - Longtime
KW - Questionnaire scores
KW - Signal quality
UR - http://www.scopus.com/inward/record.url?scp=85068350362&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85068350362&partnerID=8YFLogxK
U2 - 10.1109/IWW-BCI.2019.8737306
DO - 10.1109/IWW-BCI.2019.8737306
M3 - Conference contribution
AN - SCOPUS:85068350362
T3 - 7th International Winter Conference on Brain-Computer Interface, BCI 2019
BT - 7th International Winter Conference on Brain-Computer Interface, BCI 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International Winter Conference on Brain-Computer Interface, BCI 2019
Y2 - 18 February 2019 through 20 February 2019
ER -