Driver fatigue driving monitoring and warning method and system based on Internet of Vehicles

Abstract

The invention discloses a driver fatigue driving monitoring and warning method and system based on the Internet of Vehicles. The method comprises steps that driving parameters are simultaneously collected; the driving parameters are pre-processed, feature extraction of the driving parameters is performed, and a full feature set is determined; features of the full feature set are normalized, the features in the full feature set are filtered through the sequence floating forward selection algorithm, and the optimal feature subset is determined; the optimal feature subset is taken as the input ofa support vector machine, a driving state of a driver is taken as the output of the support vector machine, a fatigue detection model is constructed; a current driving state of the driver is determined according to the fatigue detection model; the current driving state is transmitted to a client through utilizing the Internet of Vehicles technology in real time, and monitoring is performed by a user of the client or an enterprise. The method is advantaged in that the false identification rate of the monitoring system can be reduced, and a problem of influence on the driving comfort due to wearing a detection device is solved.

Description

technical field [0001] The invention relates to the field of intelligent assisted driving, in particular to a method and system for monitoring and early warning of driver fatigue driving based on Internet of Vehicles. Background technique [0002] In recent years, with the continuous increase of my country's car ownership, the ensuing traffic accidents have also brought great pain and heavy economic burden to countless families. According to survey statistics, traffic accidents have become the one with the largest number of casualties in various accidents in the country. Among them, traffic safety accidents caused by abnormal driving conditions such as driving fatigue, sudden heart disease, and road rage accounted for more than 60%, seriously affecting Threatening the life and property safety of broad social groups. Therefore, it is of great significance to monitor and adjust physiological states such as comfort and fatigue that affect driving behavior, and reduce dangerous...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a driver fatigue driving monitoring and early warning method and system based on the Internet of Vehicles to solve the problems of high misrecognition rate and low driving comfort in the existing driving state monitoring system

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