Real-time monitoring system for fatigue driving

Abstract

The invention provides a real-time monitoring system for fatigue driving. The real-time monitoring system is used for monitoring the driving state of a driver in real time; the real-time monitoring system is characterized by comprising a storage part, a data collection part, a data processing part, a judgement part and a waning part; the normal heart rate range and normal blood pressure range of the driver are stored in the storage part; the data collection part collects a current heart rate signal and a current blood pressure signal of the driver; the data processing part processes the current heart rate signal and the current blood pressure signal to obtain an effective heart rate signal and an effective blood pressure signal; the judgement part judges whether or not the effective heart rate signal and the effective blood pressure signal are within the normal heart rate range and the normal blood pressure range; if not, the warning part conducts warning. According to the real-time monitoring system for fatigue driving, the current heart rate signal and the current blood pressure signal of the driver are collected through the data collection part, the driving state of the driver is judged, and the warning part can conduct corresponding warning on the driver according to the result of the judgement part so as to ensure safe driving of the driver.

Description

technical field [0001] The invention relates to the field of automobile driving safety, and relates to a real-time monitoring system for fatigue driving. Background technique [0002] According to statistics, about 10% to 20% of traffic accidents in Europe are caused by drivers who are in a state of fatigue but continue to drive. According to statistics from the U.S. National Traffic Safety Administration (NHTSA), about 10,000 traffic accidents are related to overloaded driving every year, and about 1,550 people lose their lives due to these traffic accidents, and more than 40,000 people are injured. In China, due to the generally poor road traffic safety awareness of drivers, the corresponding laws and regulations are not perfect, drunk driving, fatigue driving and other phenomena are very prominent, and more than tens of thousands of people are injured or even lost due to fatigue driving by themselves or others every year. precious life. Among the traffic accidents accep...

AI Technical Summary

Problems solved by technology

[0004] In the fatigue detection method in the prior art, the physiological signals of the human body are measured by sensors located on the hands and seat belts, and whether the driver is in a fatigue driving state is determined through mathematical transformation, but no specific method for obtaining physiological signals is given. , the accuracy rate of the method of obtaining the respiratory rate with the seat belt is relatively low, and the close relationship between blood pressure and fatigue state is not given, and the difference in the fatigue state level of the driver is not considered.

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