Assessment of senior drivers’ internal state in the event of simulated unexpected vehicle motion based on near-infrared spectroscopy
A driver’s internal state is a critical factor influencing driving performance, especially in cases of surprise or shock in response to unexpected incidents while driving. This study was designed to investigate the brain activity of a senior driver in response to simulated unexpected vehicle motion, compared with a relaxed state and normal driving. To accomplish this, the authors created a driving simulator paradigm wherein participants were involved in one of the following three scenarios: sitting down and relaxing, normal driving around the city with traffic signals and other vehicles, and the exiting of a parking area. In the scenario where the driver was to exit the parking area, the gear was switched automatically by the CarMaker software without the driver being notified, leading to an unexpected condition. The driver’s internal states were classified by artificial intelligence, based on information obtained through four-channel near-infrared spectroscopy. Significant differences were observed between the hemodynamic responses obtained in the three conditions. Ultimately, this method can be used to update advanced driver assistance systems, with a view to preventing future traffic accidents, by activating in-vehicle safety functions based on the driver’s condition. A driver’s internal states in a panic situation while driving can be detected using near-infrared spectroscopy and artificial intelligence.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/oclc/49192340
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Supplemental Notes:
- © 2022 Taylor & Francis Group, LLC 2022. Abstract reprinted with permission of Taylor & Francis.
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Authors:
- Le, Anh Son
- Xuan, Nang Ho
- Aoki, Hirofumi
- Publication Date: 2022-7
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 221-225
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Serial:
- Traffic Injury Prevention
- Volume: 23
- Issue Number: 5
- Publisher: Taylor & Francis
- ISSN: 1538-9588
- Serial URL: http://www.tandf.co.uk/journals/titles/15389588.html
Subject/Index Terms
- TRT Terms: Aged drivers; Cognition; Driver performance; Physiology
- Subject Areas: Highways; Safety and Human Factors;
Filing Info
- Accession Number: 01848951
- Record Type: Publication
- Files: TRIS
- Created Date: Jun 21 2022 10:31AM