Driving fatigue detecting method and system thereof

Abstract

The invention discloses a driving fatigue detecting method and a system thereof, and the method comprises the followings steps: collecting an electric brain signal of a driver through an EEG signal collecting device; calculating the collected EEG signal to obtain a fatigue state value, and transmitting the fatigue state value to a mobile terminal for display; comparing the fatigue state value witha pre-stored offline analysis result to determine whether the driver is currently in a fatigue state or not; if the driver is currently in a state of fatigue, controlling a reminder device to send afatigue reminder, and uploading the current EEG signal, the current geographic location and current time of the driver to a server for storage, and displaying the fatigue state of the driver in a mapinterface through a monitoring end of the server. The method improves the accuracy of fatigue driving detection and reduces the hazard of fatigue driving.

Description

technical field [0001] The invention relates to the technical field of driving safety, in particular to a driving fatigue detection method and system. Background technique [0002] Driving fatigue refers to the phenomenon that the driver's information acquisition, information processing and control ability are reduced due to continuous driving for a long time. Drivers are prone to driving fatigue during long-time driving, which leads to prolongation of their reaction time to emergencies and affects driving safety. In order to avoid driving fatigue, it is necessary to remind the driver when the driver is in a state of fatigue. [0003] In passenger transport, especially in long-distance passenger transport, drivers are prone to fatigue due to long-term boring driving, and this fatigue driving is the main cause of accidents in long-distance passenger transport, especially on some complicated roads, vicious traffic accidents occur Frequent occurrence, so in order to avoid the...

AI Technical Summary

Problems solved by technology

[0003] In passenger transport, especially in long-distance passenger transport, drivers are prone to fatigue due to long-term boring driving, and this fatigue driving is the main cause of accidents in long-distance passenger transport, especially on some complicated roads, vicious traffic accidents occur Frequent occurrence, so in order to avoid the traffic accidents caused by fatigue driving, it is particularly important to detect driver fatigue. Nowadays, there are many methods for driver fatigue state detection, but they all have their own shortcomings. There are detection methods such as driver's posture and grip strength of the steering wheel. This detection method has a low accuracy rate; there is a detection method based on the vehicle trajectory, which requires a detector on the road, but now many complex road conditions do not have it, and the cost is high. And The accuracy rate is low; there are detection methods based on the driver's physiological characteristics, such as nodding frequency, facial expression, eyes, etc., the accuracy rate of this detection is low, and the false detection rate is high

Therefore, the current detection method is not suitable for the driver's fatigue detection, especially for the fatigue driving detection of long-distance passenger transport drivers

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