TY - GEN
T1 - Human Emotional State Analysis during Driving Simulation Experiment Using Bio-Emotion Estimation Method
AU - Sugaya, Midori
AU - Watanabe, Issei
AU - Yoshida, Reiji
AU - Chen, Feng
PY - 2018/6/8
Y1 - 2018/6/8
N2 - There are many factors that cause accidents while driving a car. Among them, one factor is a negative emotional state such as 'anger', 'frustration', or 'irritation' [1]. To detect these negative emotional states, the are several studies and commercial driving systems that have been presented as the driver monitoring system (DMS). These approaches, that mainly depend on image processing and natural language analysis uses the information that expressed information that could be arbitrarily changed. Alternatively, the emotional analysis method using physiological responses that would not be arbitrarily changed and is objective. In this study, we propose the way of estimating emotion named the Bio-emotion Estimate Method (BeEM) that can identify emotions by applying the brain waves and heart rate estimated using Russell's circular model. We developed a driving simulator that performs emotional analysis and analyzed emotional reactions to multiple incidents using values estimated from this biological information. Then evaluate and compare with the BeEM and iiSA which is a emotion judgment indicator used during driving. The result shows that similar tendency has found in the proposed method and those obtained by the existing emotion evaluation method, suggesting the applicability to DMS of using biological emotion information.
AB - There are many factors that cause accidents while driving a car. Among them, one factor is a negative emotional state such as 'anger', 'frustration', or 'irritation' [1]. To detect these negative emotional states, the are several studies and commercial driving systems that have been presented as the driver monitoring system (DMS). These approaches, that mainly depend on image processing and natural language analysis uses the information that expressed information that could be arbitrarily changed. Alternatively, the emotional analysis method using physiological responses that would not be arbitrarily changed and is objective. In this study, we propose the way of estimating emotion named the Bio-emotion Estimate Method (BeEM) that can identify emotions by applying the brain waves and heart rate estimated using Russell's circular model. We developed a driving simulator that performs emotional analysis and analyzed emotional reactions to multiple incidents using values estimated from this biological information. Then evaluate and compare with the BeEM and iiSA which is a emotion judgment indicator used during driving. The result shows that similar tendency has found in the proposed method and those obtained by the existing emotion evaluation method, suggesting the applicability to DMS of using biological emotion information.
KW - Bio emotion estimation method
KW - Biological information
KW - Brainwave
KW - DMS
KW - Driving
KW - Emotion estimation
KW - Feeling
UR - http://www.scopus.com/inward/record.url?scp=85055533662&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85055533662&partnerID=8YFLogxK
U2 - 10.1109/COMPSAC.2018.10301
DO - 10.1109/COMPSAC.2018.10301
M3 - Conference contribution
AN - SCOPUS:85055533662
T3 - Proceedings - International Computer Software and Applications Conference
SP - 589
EP - 594
BT - Proceedings - 2018 IEEE 42nd Annual Computer Software and Applications Conference, COMPSAC 2018
A2 - Demartini, Claudio
A2 - Reisman, Sorel
A2 - Liu, Ling
A2 - Tovar, Edmundo
A2 - Takakura, Hiroki
A2 - Yang, Ji-Jiang
A2 - Lung, Chung-Horng
A2 - Ahamed, Sheikh Iqbal
A2 - Hasan, Kamrul
A2 - Conte, Thomas
A2 - Nakamura, Motonori
A2 - Zhang, Zhiyong
A2 - Akiyama, Toyokazu
A2 - Claycomb, William
A2 - Cimato, Stelvio
PB - IEEE Computer Society
T2 - 42nd IEEE Computer Software and Applications Conference, COMPSAC 2018
Y2 - 23 July 2018 through 27 July 2018
ER -