Driver fatigue monitoring system

Abstract

The invention particularly relates to a driver fatigue monitoring system which comprises a signal acquisition module, a control module and a warning module, wherein the signal acquisition module is used for acquiring the heart rate, breath, pulse, steering wheel grip strength and vehicle line change frequency of a driver; and the control module analyzes and processes the signal acquired by the signal acquisition module to obtain the fatigue grade of the driver, and sends a corresponding control signal to the warning module according to the fatigue grade to drive the warning module to act. The parameters including the heart rate, breath, pulse, steering wheel grip strength and vehicle line change frequency of the driver can reflect the fatigue state of the driver best, and through the monitoring and processing of the information, the fatigue state of the driver can be obtained more reliably and accurately; and meanwhile, the system can accurately monitor different drivers.

Description

technical field [0001] The invention relates to the technical field of driving safety, in particular to a driver fatigue monitoring system. Background technique [0002] About 1.2 million people die in traffic accidents every year in the world. Studies have shown that fatigue driving is one of the important reasons for road traffic accidents. In order to avoid the harm caused by fatigue driving, many people have developed driver fatigue monitoring systems. Said that driver fatigue monitoring methods are generally divided into subjective fatigue monitoring and objective fatigue monitoring. At present, the detection methods based on driving fatigue mainly focus on the monitoring and early warning of objective fatigue. The objective fatigue monitoring mainly uses various detection instruments to monitor the specificity of the driver's physical index or driving behavior state in real time, objectively evaluate and give prompts and early warnings. method. [0003] There are man...

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Problems solved by technology

[0003] There are many deficiencies in these existing monitoring systems: First, the method for extracting the characteristics of driver fatigue is still under study at home and abroad, and there are deficiencies in extracting fatigue features from the collected signals through time domain or frequency domain methods. At present, there is no effective feature recognition method for the correlation between human physiological and medical signals such as breathing, pulse and heart rate combined with the theory of traditional Chinese medicine and driver fatigue, so it is difficult to accurately classify the driver's fatigue; other Second, since most of the fatigue monitoring sensors are contact, the signal acquisition during driving is easily affected by the driver and the environment, which is likely to cause discomfort to the driver and affect his driving operation, so it is difficult to accurately identify driver fatigue , and the method of monitoring through non-contact instruments such as on-board cameras and radars is often more dependent on the external environment, and the monitoring accuracy is likely to be low due to environmental changes; The relationship between the fatigue degree and the monitoring indicators is well quantified, and the classification of fatigue is not accurate enough; Fourth, due to the individual differences of drivers and the influence of the environment, the monitoring method of a single monitoring indicator has limitations

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