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A fuzzy expert system for the early warning of accidents due to driver hypo-vigilance

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Abstract

In this paper a fuzzy expert system for the prediction of hypovigilance-related accidents is presented. The system uses physiological modalities in order to detect signs of extreme hypovigilance. An advantage of such a system is its extensibility regarding the physiological modalities and features that it can use as inputs. In that way, even though at present only eyelid-related features are exploited, in the future and for prototypes designed for professionals other physiological modalities, such as EEG can be easily integrated into the existing system in order to make it more robust and reliable.

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Acknowledgments

This work was partially supported by the EC under contract FP6-507231 SENSATION.

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Authors and Affiliations

  1. Informatics and Telematics Institute, 1st Km Thermi-Panorama Road, 57001, Thermi-Thessaloniki, Greece

    I. G. Damousis, D. Tzovaras & M. G. Strintzis

  2. Electrical and Computer Engineering Department, Aristotle University of Thessaloniki, 54006, Thessaloniki, Greece

    M. G. Strintzis

Authors
  1. I. G. Damousis
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  2. D. Tzovaras
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  3. M. G. Strintzis
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Correspondence to I. G. Damousis.

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Damousis, I.G., Tzovaras, D. & Strintzis, M.G. A fuzzy expert system for the early warning of accidents due to driver hypo-vigilance. Pers Ubiquit Comput 13, 43–49 (2009). https://doi.org/10.1007/s00779-007-0170-3

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  • DOI: https://doi.org/10.1007/s00779-007-0170-3

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