Preliminary Experiment for Driver's Comfortable State Using EEG and HRV During Semi-autonomous Driving

Narumon Jadram, Muhammad Nur Adilin Mohd Anuardi, Tipporn Laohakangvalvit, Midori Sugaya

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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.

Original languageEnglish
Title of host publicationAdvances in Human Aspects of Transportation - Proceedings of the AHFE 2021
EditorsNeville Stanton
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages9
ISBN (Print)9783030800116
Publication statusPublished - 2021
Externally publishedYes
EventAHFE Conference on Human Aspects of Transportation, 2021 - Virtual, Online
Duration: 2021 Jul 252021 Jul 29

Publication series

NameLecture Notes in Networks and Systems
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389


ConferenceAHFE Conference on Human Aspects of Transportation, 2021
CityVirtual, Online


  • Autonomous driving
  • Biological information
  • Comfortable arousal
  • EEG
  • Pulse sensor

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications


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