TY - GEN
T1 - Individual Differences in Motor Imagery BCIs
T2 - 10th International Winter Conference on Brain-Computer Interface, BCI 2022
AU - Alimardani, Maryam
AU - Gherman, Diana-Eliza
PY - 2022
Y1 - 2022
N2 - Performance variation among users is a well-known issue in the Brain-Computer Interface (BCI) field. Although extensive research has been conducted, there is yet no clear agreement on the specific factors that influence the BCI performance. Using a large sample size of 54 subjects, this study investigated the impact of different demographic and psychological variables including gender, attention, relaxation, motivation, visual fatigue, and somnolence on motor imagery BCI (MI-BCI) performance. A comprehensive approach was taken in evaluating the MI-BCI performance, by both looking at online classification accuracies as well as the mu rhythm suppression from the recorded electroencephalography (EEG) signals. In line with previous studies, our results suggest that there is a significant difference of BCI performance between users, depending on their relaxation level and (visual) fatigue. Additionally, gender was found as a predictor showing an advantage for female participants in their MI-BCI control abilities. Our findings suggest the need for BCI training and instruction protocols that take into consideration the psychological states and background information of the users.
AB - Performance variation among users is a well-known issue in the Brain-Computer Interface (BCI) field. Although extensive research has been conducted, there is yet no clear agreement on the specific factors that influence the BCI performance. Using a large sample size of 54 subjects, this study investigated the impact of different demographic and psychological variables including gender, attention, relaxation, motivation, visual fatigue, and somnolence on motor imagery BCI (MI-BCI) performance. A comprehensive approach was taken in evaluating the MI-BCI performance, by both looking at online classification accuracies as well as the mu rhythm suppression from the recorded electroencephalography (EEG) signals. In line with previous studies, our results suggest that there is a significant difference of BCI performance between users, depending on their relaxation level and (visual) fatigue. Additionally, gender was found as a predictor showing an advantage for female participants in their MI-BCI control abilities. Our findings suggest the need for BCI training and instruction protocols that take into consideration the psychological states and background information of the users.
UR - http://www.scopus.com/inward/record.url?scp=85141616731&partnerID=8YFLogxK
U2 - 10.1109/BCI53720.2022.9735067
DO - 10.1109/BCI53720.2022.9735067
M3 - Conference contribution
T3 - International Winter Conference on Brain-Computer Interface, BCI
BT - 10th International Winter Conference on Brain-Computer Interface, BCI 2022
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 21 February 2022 through 23 February 2022
ER -