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

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, the authors 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.

• Record URL:
  https://doi.org/10.1007/978-3-030-80012-3
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9783030800116
• Supplemental Notes:
  • © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.
• Corporate Authors:

  Springer Cham

  Gewerbestrasse 11
  Cham,   Germany 
• Authors:
  • Jadram, Narumon
  • Anuardi, Muhammad Nur Adilin Mohd
  • Laohakangvalvit, Tipporn
  • Sugaya, Midori
• Conference:
  • Virtual Conference on Human Aspects of Transportation (AHFE 2021)
  • Date: 2021-7-25 to 2021-7-29
• Publication Date: 2021-6

Language

• English

Media Info

• Media Type: Web
• Edition: 1st Edition
• Features: References;
• Pagination: pp 373-381
• Monograph Title: Advances in Human Aspects of Transportation: Proceedings of the AHFE 2021 Virtual Conference on Human Aspects of Transportation, July 25-29, 2021, USA
• Serial:
  • Lecture Notes in Networks and Systems
  • Volume: 270
  • Publisher: Springer Cham
  • ISSN: 2367-3370
  • Serial URL: https://www.springer.com/series/15179

Subject/Index Terms

• TRT Terms: Alertness; Autonomous vehicle handover; Comfort; Drivers; Electroencephalography; Heart rate
• Subject Areas: Highways; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01872700
• Record Type: Publication
• ISBN: 9783030800116
• Files: TRIS
• Created Date: Feb 7 2023 9:16AM