TY - GEN
T1 - Brain-Computer Interface for Multi-Parameter Mental State Evaluation
AU - He, Congying
AU - Chang, Yang
AU - Ko, Li Wei
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - With the increasing development of wireless devices in the field of Brain-Computer Interface (BCI), it is very important to evaluate the mental state of users using BCI products in daily life. There have been many studies on mental states in the past, such as studies related to concentration, fatigue, or stress, but most of them are studies of a single mental state. We proposed a multi-mental state indicator based on EEG signals which can real-time reflect the subject's mental states, including fatigue, attention, stress, and the left and right brain activity changes. For validating the effectiveness of the proposed evaluation system, we also designed a complex mixed-object search experiment. Results showed that attention levels while performing the objective searching task were significantly higher than during rest periods. Contrast, the fatigue level while rest periods gradually increased and steady by the third rest period. Stress levels, similar to attention levels, decreased as the experiment progressed. The proposed indicator is applicable to potential BCI applications for evaluating the subject's mental state change in real-time.
AB - With the increasing development of wireless devices in the field of Brain-Computer Interface (BCI), it is very important to evaluate the mental state of users using BCI products in daily life. There have been many studies on mental states in the past, such as studies related to concentration, fatigue, or stress, but most of them are studies of a single mental state. We proposed a multi-mental state indicator based on EEG signals which can real-time reflect the subject's mental states, including fatigue, attention, stress, and the left and right brain activity changes. For validating the effectiveness of the proposed evaluation system, we also designed a complex mixed-object search experiment. Results showed that attention levels while performing the objective searching task were significantly higher than during rest periods. Contrast, the fatigue level while rest periods gradually increased and steady by the third rest period. Stress levels, similar to attention levels, decreased as the experiment progressed. The proposed indicator is applicable to potential BCI applications for evaluating the subject's mental state change in real-time.
UR - http://www.scopus.com/inward/record.url?scp=85146431825&partnerID=8YFLogxK
U2 - 10.1109/iFUZZY55320.2022.9985229
DO - 10.1109/iFUZZY55320.2022.9985229
M3 - Conference contribution
AN - SCOPUS:85146431825
T3 - 2022 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2022
BT - 2022 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2022
Y2 - 3 November 2022 through 5 November 2022
ER -