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Detection of driver inattention from fluctuations in vehicle operating data

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Abstract

Drivers have to drive their vehicle safely by properly using steering, throttling, and braking controls. However, drivers do not always maintain their concentration on managing their vehicles. The primary causes of driver inattention are distracting activities and drowsiness. Such driver inattention is thought to be one of the major causes of traffic accidents, and so the objective of the present study is to develop a new method for detecting driver inattention from fluctuations in vehicle operating data. Steering and throttle operations while driving were measured by acceleration sensors and respiration rhythm and an electrocardiogram were measured as physiological indices. The result of correlation between the estimative value, peaks and exponent values of frequency characteristics of vehicle operating data, and physiological indices, an association of sympathetic nervous system activation was indicated. The performance of detecting normal state, under cognitive stress state, and drowsy state by this method was an average correct discriminatory rate of 70 %.

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Authors and Affiliations

  1. Aoyama Gakuin University, 5-10-1 Fuchinobe, Chuo-ku, Sagamihara, Kanagawa, Japan

    Shizuka Bando & Akio Nozawa

Authors
  1. Shizuka Bando
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  2. Akio Nozawa
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Corresponding author

Correspondence to Akio Nozawa.

Additional information

This work was presented in part at the 19th International Symposium on Artificial Life and Robotics, Beppu, Oita, January 22–24, 2014.

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Bando, S., Nozawa, A. Detection of driver inattention from fluctuations in vehicle operating data. Artif Life Robotics 20, 28–33 (2015). https://doi.org/10.1007/s10015-014-0191-8

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  • DOI: https://doi.org/10.1007/s10015-014-0191-8

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