Multi-source information fusion for drowsy driving detection based on wireless sensor networks

Liang Wei, S. C. Mukhopadhyay, Razali Jidin, Chia Pang Chen

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

8 Citations (Scopus)

Abstract

Drowsy driving is a major cause of road accidents. This paper analyses the drivers' behavior in the state of fatigue driving and introduces the latest developments of drowsy driving detection technology. In this study we also propose a drowsy driving detection based on the driver's physiological signals such as eye activity measures, the inclination of the driver's head, sagging posture, heart beat rate, skin electric potential, and electroencephalographic (EEG) activities, as well as response characteristics, decline in gripping force on the steering wheel and lane keeping characteristics. By developing a hierarchical model that is able to collect the sensing data, analyze the driving behavior and the reactions to the driver, it can provide a safe and a comfortable driving environment. Combining different indications of drowsiness and processing the contextual information to predict whether a driver is drowsy, the system not only issues a warning for the driver, but also provides the drowsy driving information to transportation control center and other vehicles if necessary.

Original languageEnglish
Title of host publication2013 7th International Conference on Sensing Technology, ICST 2013
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages850-857
Number of pages8
ISBN (Print)9781467352215
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 7th International Conference on Sensing Technology, ICST 2013 - Wellington, New Zealand
Duration: 3 Dec 20135 Dec 2013

Other

Other2013 7th International Conference on Sensing Technology, ICST 2013
CountryNew Zealand
CityWellington
Period3/12/135/12/13

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  • Cite this

    Wei, L., Mukhopadhyay, S. C., Jidin, R., & Chen, C. P. (2013). Multi-source information fusion for drowsy driving detection based on wireless sensor networks. In 2013 7th International Conference on Sensing Technology, ICST 2013 (pp. 850-857). [6727771] Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICSensT.2013.6727771