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International Conference on Information, Communication and Computing Technology

ICICCT 2018: Information, Communication and Computing Technology pp 150–159Cite as

A Machine Learning Based Approach to Driver Drowsiness Detection

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 835))

Abstract

Drowsy driving is a major cause of road accidents around the globe. A driver fatigue detection system that can alert the drowsy driver in a timely manner will therefore be of great help in improving road safety. This paper provides a non-invasive, camera-based innovative technique for detection of driver drowsiness based on eye blinking and mouth movement. A camera is mounted on the car dashboard facing the driver. First, face, eye and mouth of the driver are extracted from the images captured by the camera. Next, features for eyes and mouth are extracted and a classifier based detection system identifies if the driver is fatigued. Results demonstrate that the proposed system can efficiently identify indications of drowsiness on the drivers face.

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Acknowledgement

The authors like to thank the persons who readily accepted to be part of performance evaluation of system proposed in this paper.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India

    Swapnil Misal

  2. SIERS Research Laboratory, Department of Electronics and Communication Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India

    Binoy B. Nair

Authors
  1. Swapnil Misal
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  2. Binoy B. Nair
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Corresponding author

Correspondence to Swapnil Misal .

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Editors and Affiliations

  1. School of Computer and Systems Science, Jawaharlal Nehru University, New Delhi, India

    Sonajharia Minz

  2. Indian Institute of Technology Guwahati, Guwahati, India

    Sushanta Karmakar

  3. Jagan Institute of Management Studies, Delhi, India

    Latika Kharb

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Misal, S., Nair, B.B. (2019). A Machine Learning Based Approach to Driver Drowsiness Detection. In: Minz, S., Karmakar, S., Kharb, L. (eds) Information, Communication and Computing Technology. ICICCT 2018. Communications in Computer and Information Science, vol 835. Springer, Singapore. https://doi.org/10.1007/978-981-13-5992-7_13

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  • DOI: https://doi.org/10.1007/978-981-13-5992-7_13

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-5991-0

  • Online ISBN: 978-981-13-5992-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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