TY  - JOUR
PY  - 2021//
TI  - Driver state detection based on cardiovascular system and driver reaction information using a graphical model
JO  - Journal of transportation technologies (Irvine, Calif.)
A1  - Nguyen, Thanh Tung
A1  - Aoki, Hirofumi
A1  - Le, Anh Son
A1  - Akio, Hirano
A1  - Aoki, Kunimoto
A1  - Inagami, Makoto
A1  - Suzuki, Tatsuya
SP  - 139
EP  - 156
VL  - 11
IS  - 2
N2  - Traffic accidents are mainly caused by human error. In an aging society, the number of accidents attributed to elderly drivers is increasing. One noteworthy reason for this is operation misapplication. Studies have been conducted on the use of human-machine interfaces (HMIs) to inform the driver when he or she makes an error and encourage appropriate actions. However, the driver state during the erroneous action has not been investigated. The purpose of this study is to clarify the difference in the driver's state between normal and surprising situations in a misapplication scenario, utilizing multimodal information such as biometric information and driver operation. We found significant changes in the interaction of components between the normal and the surprised driving state. The results could provide basic knowledge for the future development of a driver assistance system and driver state estimation using data acquired from multiple sensors in the vehicle.<p />  <p>Language: en</p>
LA  - en
SN  - 2160-0473
UR  - http://dx.doi.org/10.4236/jtts.2021.112009
ID  - ref1
ER  -