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Driver Fatigue detection using Infrared sensor and Adaptive Neuro-Fuzzy Inference System

Publication Type : Journal Article

Publisher : International Journal of Pure and Applied Mathematics.

Source : International Journal of Pure and Applied Mathematics, Volume 118, p.4209-4214 (2018)

Url : https://acadpubl.eu/hub/2018-118-21/articles/21e/56.pdf

Campus : Coimbatore

School : School of Engineering

Center : Computational Engineering and Networking

Department : Mechanical Engineering

Year : 2018

Abstract : This paper discusses a non-invasive and non-intrusive approach for driver fatigue detection.The fatigue condition of the driver is identified with the help of a trained neuro- fuzzy system mitigating the risk of a road accident. In this work, we have analyzed the facial temperature variations of the driver for estimating the level offatigue.Infrared sensor is used for acquisition of facial temperature of subjects and adjacent environment temperature changes. The temperature information of the subjects is segregated into facial temperature and environment temperature and is used for training the adaptive neuro fuzzy system. Therefore, the fuzzy system will provide a numerical output which helps in determiningthe fatigue condition of the subject under consideration. Hence the fuzzy system is well trained with all facial temperatures of the subject, fatigue is determined accurately.

Cite this Research Publication : H. K, Dr. K. I. Ramachandran, and S, A., “Driver Fatigue detection using Infrared sensor and Adaptive Neuro-Fuzzy Inference System”, International Journal of Pure and Applied Mathematics, vol. 118, 20 vol., pp. 4209-4214, 2018.

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