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Driver Drowsiness Detection

Systems and Solutions

  • Book
  • © 2014

Overview

Authors:
  1. Aleksandar Čolić

    1. Department of Computer & Electrical Engineering, Florida Atlantic University, Boca Raton, USA

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    You can also search for this author in PubMed   Google Scholar

  2. Oge Marques

    1. Dept. of Computer & Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, USA

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    You can also search for this author in PubMed   Google Scholar

  3. Borko Furht

    1. Dept. of Computer Science & Engineering, Florida Atlantic University, Boca Raton, USA

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    You can also search for this author in PubMed   Google Scholar

Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)

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Table of contents (5 chapters)

  1. Front Matter

    Pages i-ix
    Download chapter PDF

  2. Introduction

    • Aleksandar Čolić, Oge Marques, Borko Furht
    Pages 1-5

  3. Driver Drowsiness Detection and Measurement Methods

    • Aleksandar Čolić, Oge Marques, Borko Furht
    Pages 7-18

  4. Commercial Solutions

    • Aleksandar Čolić, Oge Marques, Borko Furht
    Pages 19-23

  5. Research Aspects

    • Aleksandar Čolić, Oge Marques, Borko Furht
    Pages 25-37

  6. Examples

    • Aleksandar Čolić, Oge Marques, Borko Furht
    Pages 39-50
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Keywords

About this book

This SpringerBrief presents the fundamentals of driver drowsiness detection systems, provides examples of existing products, and offers guides for practitioners interested in developing their own solutions to the problem. Driver drowsiness causes approximately 7% of all road accidents and up to 18% of fatal collisions. Proactive systems that are capable of preventing the loss of lives combine techniques, methods, and algorithms from many fields of engineering and computer science such as sensor design, image processing, computer vision, mobile application development, and machine learning which is covered in this brief. The major concepts addressed in this brief are: the need for such systems, the different methods by which drowsiness can be detected (and the associated terminology), existing commercial solutions, selected algorithms and research directions, and a collection of examples and case studies. These topics equip the reader to understand this critical field and its applications. Detection Systems and Solutions: Driver Drowsiness is an invaluable resource for researchers and professionals working in intelligent vehicle systems and technologies. Advanced-level students studying computer science and electrical engineering will also find the content helpful.

Authors and Affiliations

  • Department of Computer & Electrical Engineering, Florida Atlantic University, Boca Raton, USA

    Aleksandar Čolić

  • Dept. of Computer & Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, USA

    Oge Marques

  • Dept. of Computer Science & Engineering, Florida Atlantic University, Boca Raton, USA

    Borko Furht

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