Driver-vehicle interfacial dynamics: a robust cue for driver fatigue
The authors present a new technique that measures driver fatigue from the dynamics of driver-vehicle interfaces, such as the accelerator and the steering wheel. Real-life highway driving experiments were conducted on 24 participants and the variance or energy of the time series data on driver imparted force or motion on the interfaces was found to be strongly correlated to the driver's self-perceived alertness. The non-visual sensing principle and computational algorithm demonstrate the simplicity, robustness and cost efficiency of the proposed technique, which is expected to impact the transportation industry, particularly the automotive sector.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/1744232X
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Supplemental Notes:
- Abstract used with permission from the publisher.
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Authors:
- Haque, M A
- Desai, A V
- El-Gindy, Moustafa
- Publication Date: 2011
Language
- English
Media Info
- Media Type: Print
- Features: Figures; Photos; References; Tables;
- Pagination: pp 245-256
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Serial:
- International Journal of Heavy Vehicle Systems
- Volume: 18
- Issue Number: 3
- Publisher: Inderscience Enterprises Limited
- ISSN: 1744-232X
- EISSN: 1741-5152
- Serial URL: http://www.inderscience.com/jhome.php?jcode=IJHVS
Subject/Index Terms
- TRT Terms: Computer algorithms; Correlation analysis; Driver monitoring; Driver vehicle interfaces; Drivers; Experiments; Fatigue (Physiological condition)
- Uncontrolled Terms: Correlators; Driver fatigue
- Subject Areas: Highways; Safety and Human Factors;
Filing Info
- Accession Number: 01357027
- Record Type: Publication
- Files: TRIS
- Created Date: Nov 16 2011 2:51PM