期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2015
卷号：4
期号：9
页码：14421-14428
DOI：10.18535/ijecs/v4i9.62
出版社：IJECS
摘要：Vehicular accidents are taking place day by day and people are losing their lives across theworld. It is important to detect physiological and Psychological parameter of the vehicular driver so thatvarious levels of physical and mental fatigue can be measured. Research has been initiated at a great extentin India to develop an insidious solution for eliminating such accidents. In this paper the KNN (K-nearestneighbor) algorithm has been designed to organize Post and Pre driving fatigue levels. The performanceanalysis of K- nearest neighbor algorithm has been discussed here. This paper propose a method to plan andto execute the major element of this computing system which is wearable and the aim is to watch the Fatiguelevel of a driver using physiological parameters so that a simplified system can be built without disturbingthe driver and unaffecting his comfort level. This paper also presents the usage of physiological parametersof the body such as oximetry pulse for classifying the post and pre driving fatigue state of the vehiculardrivers
