Electroencephalogram-based wearable anti-fatigue intelligent monitoring and pre-warning system for driver

Abstract

The invention discloses an electroencephalogram-based wearable anti-fatigue intelligent monitoring and pre-warning system for a driver. The electroencephalogram-based wearable anti-fatigue intelligent monitoring and pre-warning system is characterized in that when a driver drives, self-developed wearable electroencephalogram detecting equipment is used to detect the electroencephalogram features of the driver, a specific fatigue algorithm is provided, whether the driver is in a fatigue state or not or has a fatigue trend or not is monitored precisely in real time, timely pre-warning can be performed, and traffic accidents caused by fatigue driving can be prevented effectively. The system has the advantages that the system is high in precision, good in timeliness, capable of effectively preventing the traffic accidents caused by the fatigue driving, high in practicality and promising in prospect; the used wearable cap structure is small in size, easy to wear and free of influence on the daily driving operation of the driver; the used electrode structure does not need to use the earlobe as the reference voltage, the driver does not need to wear an ear clip on the ear, and discomfort is avoided; false alarm and alarm failure are reduced effectively by the specific fatigue algorithm.

Description

technical field [0001] The invention relates to the technical field of driver fatigue prevention intelligent monitoring and early warning technology, in particular to a wearable driver fatigue prevention intelligent monitoring and early warning system based on brain electricity. Background technique [0002] As we all know, traffic accidents are extremely easy to occur when drivers are tired, especially on roads with good driving conditions such as expressways, drivers are prone to monotony and fatigue and drowsiness, and generally driving at high speeds can easily lead to serious accidents. Some long-distance bus drivers will drive for many hours without sleep, resulting in car accidents and even the destruction of their families. The death toll caused by driver fatigue driving accounts for 57% of traffic catastrophic accidents every year in the world, and fatigue driving has become one of the important reasons of traffic accidents. [0003] Driving fatigue monitoring meth...

AI Technical Summary

Problems solved by technology

However, the current solution has the following problems: ①The general EEG instrument is bulky, inconvenient to carry, and expensive; ②In most cases, the EEG detection device needs to paste many electrodes, which is highly invasive, and the wearer’s comfort experience is poor and Affect driving operation; ③The product generally uses the earlobe as the reference voltage, and the wearer needs to clip an ear clip on the ear. After a long time, the blood in the ear is likely to not circulate and there is obvious pain; ④The fatigue algorithm is single, the reliability is poor, and it is easy to Cause false alarm, missed alarm

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