1 - 5 of 5 Chapters
[This chapter provides an introduction to the topic of driver drowsiness detection. Through crash statistics and other related data, it demonstrates the importance and seriousness of the subject. Moreover, it introduces some of the terminology and concepts related to this topic.]
[This chapter provides an overview of driver drowsiness detection (DDD) and measurement methods and organizes them by category. The five main categories are: subjective, physiological, vehicle-based, behavioral, and hybrid. Most DDD systems being developed today rely on either vehicle-based...
[This chapter provides an overview of commercial solutions—developed by either automobile manufacturers or independent companies—whose goals are to increase driver’s safety and detect potentially dangerous driving situations that may have been caused by driver drowsiness.]
[This chapter presents an overview of the research aspects associated with the development of driver drowsiness detection solutions, particularly vehicle-mounted solutions that monitor the driver’s head and face for behavioral signs of potential drowsiness, such as nodding, yawning, or blinking....
[This chapter provides examples of recent research work on driver drowsiness detection solutions. The systems and methods discussed in this chapter complement the commercial solutions surveyed in Chap. 3. The chapter also includes highlights of the authors’ ongoing work on the topic.]
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