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2008•International Journal of Heavy Vehicle SystemsRequires access

Driver alertness monitoring techniques: a literature review

J. Culp, Mayrai Gindy, Aman Haque

Open publisher page 6 citations

Abstract

Recent studies show lack of driver alertness to be a major cause of automobile accidents on roadways across the world. The perceived state of alertness is a complex physiological and psychological phenomenon. This paper reviews factors contributing to and the symptoms of alertness loss and the existing methods used to measure driver alertness. Because of their remarkable pattern recognition capabilities, special attention is given to Artificial Neural Network (ANN) approaches to predict alertness levels.

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What this paper is about

Recent studies show lack of driver alertness to be a major cause of automobile accidents on roadways across the world. The perceived state of alertness is a complex physiological and psychological phenomenon. This paper reviews factors contributing to and the symptoms of alertness loss and the existing methods used to measure driver alertness. Because of their remarkable pattern recognition capabilities, special attention is given to Artificial Neural Network (ANN) approaches to predict alertness levels.

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OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Recent studies show lack of driver alertness to be a major cause of automobile accidents on roadways across the world. The perceived state of alertness is a complex physiological and psychological phenomenon. This paper reviews factors contributing to and the symptoms of alertness loss and the existing methods used to measure driver alertness. Because of their remarkable pattern recognition capabilities, special attention is given to Artificial Neural Network (ANN) approaches to predict alertness levels.

Key concepts: Alertness, Engineering, Poison control, Cognitive psychology, Psychology, Medicine, Medical emergency, Psychiatry

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