Publication Type:

Journal Article

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

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.