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Real Time Driver Drowsiness Detection Based on Driver’s Face Image Behavior Using a System of Human Computer Interaction Implemented in a Smartphone

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Proceedings of the International Conference on Information Technology & Systems (ICITS 2018) (ICITS 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 721))

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Abstract

The main reason for motor vehicular accidents is the driver drowsiness. This work shows a surveillance system developed to detect and alert the vehicle driver about the presence of drowsiness. It is used a smartphone like small computer with a mobile application using Android operating system to implement the Human Computer Interaction System. For the detection of drowsiness, the most relevant visual indicators that reflect the driver’s condition are the behavior of the eyes, the lateral and frontal assent of the head and the yawn. The system works adequately under natural lighting conditions and no matter the use of driver accessories like glasses, hearing aids or a cap. Due to a large number of traffic accidents when driver has fallen asleep this proposal was developed in order to prevent them by providing a non-invasive system, easy to use and without the necessity of purchasing specialized devices. The method gets 93.37% of drowsiness detections.

This work was supported by the Universidad de las Fuerzas Armadas, Sangolquí – Ecuador. Eddie E. Galarza (IEEE member), Franklin M. Silva, Paola M. Velasco and Eddie D. Galarza work at the University of the Fuerzas Armadas at the campus in Latacunga City. Fabricio D. Egas is an Electronic Engineer graduated in that university.

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Authors and Affiliations

  1. Universidad de las Fuerzas Armadas - ESPE, Sangolquí, Ecuador

    Eddie E. Galarza, Fabricio D. Egas, Franklin M. Silva, Paola M. Velasco & Eddie D. Galarza

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  1. Eddie E. Galarza
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  2. Fabricio D. Egas
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  3. Franklin M. Silva
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  4. Paola M. Velasco
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  5. Eddie D. Galarza
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Corresponding author

Correspondence to Eddie E. Galarza .

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Editors and Affiliations

  1. DEI/FCT, Universidade de Coimbra, Coimbra, Portugal

    Álvaro Rocha

  2. Systems Department, Universidad Estatal Península de Santa Elena, La Libertad, Ecuador

    Teresa Guarda

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Galarza, E.E., Egas, F.D., Silva, F.M., Velasco, P.M., Galarza, E.D. (2018). Real Time Driver Drowsiness Detection Based on Driver’s Face Image Behavior Using a System of Human Computer Interaction Implemented in a Smartphone. In: Rocha, Á., Guarda, T. (eds) Proceedings of the International Conference on Information Technology & Systems (ICITS 2018). ICITS 2018. Advances in Intelligent Systems and Computing, vol 721. Springer, Cham. https://doi.org/10.1007/978-3-319-73450-7_53

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  • DOI: https://doi.org/10.1007/978-3-319-73450-7_53

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  • Online ISBN: 978-3-319-73450-7

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