TY - GEN
T1 - Preliminary Experiment for Driver's Comfortable State Using EEG and HRV During Semi-autonomous Driving
AU - Jadram, Narumon
AU - Anuardi, Muhammad Nur Adilin Mohd
AU - Laohakangvalvit, Tipporn
AU - Sugaya, Midori
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - In semi-autonomous driving, it requires drivers to take over driving under necessary situations. To take over driving safely, it is important to avoid accidents caused by the decrement of arousal level. Therefore, mechanism to increase and maintain arousal level is needed. To achieve satisfying safe driving, the increment of arousal level should be in comfortable state. Many studies presented evaluations of arousal level, but there is no evaluation of comfortable arousal. In this study, we objectively evaluated both arousal and comfort using brainwave and heart rate variability (HRV), proposed to analyze time-series data, and compared various biological indexes with subjective evaluation by correlation analysis. The result shows significant correlations between objective and subjective evaluation results for both comfort and arousal indexes. Time series analysis of pNN50 as HRV index and β/α as brainwave index, which were significantly correlated with SAM results, shows the possibility of evaluating comfort and arousal with those indexes.
AB - In semi-autonomous driving, it requires drivers to take over driving under necessary situations. To take over driving safely, it is important to avoid accidents caused by the decrement of arousal level. Therefore, mechanism to increase and maintain arousal level is needed. To achieve satisfying safe driving, the increment of arousal level should be in comfortable state. Many studies presented evaluations of arousal level, but there is no evaluation of comfortable arousal. In this study, we objectively evaluated both arousal and comfort using brainwave and heart rate variability (HRV), proposed to analyze time-series data, and compared various biological indexes with subjective evaluation by correlation analysis. The result shows significant correlations between objective and subjective evaluation results for both comfort and arousal indexes. Time series analysis of pNN50 as HRV index and β/α as brainwave index, which were significantly correlated with SAM results, shows the possibility of evaluating comfort and arousal with those indexes.
KW - Autonomous driving
KW - Biological information
KW - Comfortable arousal
KW - EEG
KW - Pulse sensor
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U2 - 10.1007/978-3-030-80012-3_43
DO - 10.1007/978-3-030-80012-3_43
M3 - Conference contribution
AN - SCOPUS:85112640761
SN - 9783030800116
T3 - Lecture Notes in Networks and Systems
SP - 373
EP - 381
BT - Advances in Human Aspects of Transportation - Proceedings of the AHFE 2021
A2 - Stanton, Neville
PB - Springer Science and Business Media Deutschland GmbH
T2 - AHFE Conference on Human Aspects of Transportation, 2021
Y2 - 25 July 2021 through 29 July 2021
ER -