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Study on EEG-based carelessness warnings to bus driver

Hong, Sara LU orcid ; Lim, Hyun Jun ; Lee, Chang Won ; Lee, June Seung and Yang, Ji Hyun (2022) 3rd IEEE International Conference on Human-Machine Systems, ICHMS 2022 In Proceedings of the 2022 IEEE International Conference on Human-Machine Systems, ICHMS 2022
Abstract

To reduce traffic accidents caused by driver factors, realizing technology to monitor and preemptively respond to the state of a driver is necessary. In this study, drivers' electroencephalogram (EEG) data during driving were acquired, and the effect of carelessness warnings was analyzed. The frequency of carelessness per minute was low for the case of presence of warnings. The originality of this study is that the effect of carelessness warnings was confirmed from the data acquired from actual commercial bus drivers, utilizing an EEG-based monitoring technology.

Please use this url to cite or link to this publication:
author
; ; ; and
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
bus driver, Electroencephalogram, human-machine interaction, real vehicle
host publication
Proceedings of the 2022 IEEE International Conference on Human-Machine Systems, ICHMS 2022
series title
Proceedings of the 2022 IEEE International Conference on Human-Machine Systems, ICHMS 2022
editor
Kaber, David ; Guerrieri, Antonio ; Fortino, Giancarlo and Nurnberger, Andreas
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
3rd IEEE International Conference on Human-Machine Systems, ICHMS 2022
conference location
Orlando, United States
conference dates
2022-11-17 - 2022-11-19
external identifiers
  • scopus:85146284167
ISBN
9781665452380
DOI
10.1109/ICHMS56717.2022.9980701
language
English
LU publication?
no
additional info
Publisher Copyright: © 2022 IEEE.
id
84785a9e-b4fb-4acd-a238-ddd2e98f3e88
date added to LUP
2025-09-16 14:08:58
date last changed
2025-09-23 03:40:55
@inproceedings{84785a9e-b4fb-4acd-a238-ddd2e98f3e88,
  abstract     = {{<p>To reduce traffic accidents caused by driver factors, realizing technology to monitor and preemptively respond to the state of a driver is necessary. In this study, drivers' electroencephalogram (EEG) data during driving were acquired, and the effect of carelessness warnings was analyzed. The frequency of carelessness per minute was low for the case of presence of warnings. The originality of this study is that the effect of carelessness warnings was confirmed from the data acquired from actual commercial bus drivers, utilizing an EEG-based monitoring technology.</p>}},
  author       = {{Hong, Sara and Lim, Hyun Jun and Lee, Chang Won and Lee, June Seung and Yang, Ji Hyun}},
  booktitle    = {{Proceedings of the 2022 IEEE International Conference on Human-Machine Systems, ICHMS 2022}},
  editor       = {{Kaber, David and Guerrieri, Antonio and Fortino, Giancarlo and Nurnberger, Andreas}},
  isbn         = {{9781665452380}},
  keywords     = {{bus driver; Electroencephalogram; human-machine interaction; real vehicle}},
  language     = {{eng}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{Proceedings of the 2022 IEEE International Conference on Human-Machine Systems, ICHMS 2022}},
  title        = {{Study on EEG-based carelessness warnings to bus driver}},
  url          = {{http://dx.doi.org/10.1109/ICHMS56717.2022.9980701}},
  doi          = {{10.1109/ICHMS56717.2022.9980701}},
  year         = {{2022}},
}