Survey of Biometric Techniques for Automotive Applications

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 738)

Abstract

Although significant research has been dedicated to developing biometric solutions for motorized vehicles, there are currently no survey works charting the progress in this field. This paper discusses a selection of biometrics research focusing on improving vehicle safety and protecting vehicles against theft. Specifically, we discuss research that focuses on detecting a driver’s impaired ability to control the vehicle due to drowsiness, intoxication, or a medical emergency; developing techniques for identifying and preventing intrusions into the vehicle; and discovering driver distractions from within and without the vehicle. We also comment on the potential effectiveness, user-friendliness, privacy, security, and other aspects of the proposed approaches and identify directions for future research.

We supplement this paper with a comprehensive list of other works in the field, which is accessible from Gofman and Villa (Extended database of biometrics research for automotive applications, 2017. http://www.fullerton.edu/cybersecurity/research/Extended-Database-of-Biometrics-Research-for-Automotive-Applications.php).

Keywords

Biometrics Machine learning Vehicles Automotive Transportation 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Computer ScienceCalifornia State UniversityFullertonUSA
  2. 2.Department of Information Systems and Decision SciencesCalifornia State UniversityFullertonUSA

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