Fatigue driving remote monitoring and alarm system and method based on physiological information analysis

Abstract

The present invention is a fatigue driving remote monitoring and alarm system and method based on physiological information analysis. The device includes an EEG acquisition device, a host computer and a lower computer. The system also includes a mobile phone module, wherein the input terminal of the EEG acquisition device is connected to the The cerebral cortex of the employee, the output terminal of the EEG acquisition device transmits the EEG signal to the upper computer, the upper computer outputs the fatigue signal to the lower computer, and the lower computer outputs the alarm signal to the mobile phone module. The mobile phone module can be used to enable the driver monitoring personnel to query the driver's driving status in real time, and timely remind the driver to prevent fatigue driving; when the driver is in a fatigue driving state, the present invention can timely alarm by analyzing the EEG signal, When driving, the lower computer sends alarm information to the monitoring personnel's mobile phone by controlling the mobile phone module, so as to improve the detection and early warning ability of the driver's fatigue driving.

Description

technical field [0001] The invention belongs to the intersecting field of biomedical engineering and mechatronic engineering, and specifically relates to a fatigue driving remote monitoring and alarm system and method based on physiological information analysis. Background technique [0002] In our country, due to the lack of car safety awareness, fatigue driving, speeding, drunk driving and other phenomena are very prominent, which have become important causes of major traffic accidents. Among them, the number of deaths caused by fatigue driving is thousands of people every year. In foreign countries, the situation is also very severe. The National Sleep Foundation of the United States issued a press announcement on November 4, 2009 saying that nearly 2 million car accidents were caused by fatigue driving in the whole country every year. According to the accident report of the French National Police, accidents caused by driving fatigue accounted for 14.9% of personal injury...

AI Technical Summary

Problems solved by technology

The disadvantage of this device is that the early warning of driver fatigue is late, and when the driver's eyes stop opening and closing, it is already in the sleep period, which is quite unfavorable for driving. For the driver to drive safely, early warning must be done.

[0005] In addition, none of the above-mentioned achievements can realize the functions of remote alarm for driver fatigue driving and query of driving status

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