Fatigue monitoring method and device for driver

Abstract

A method for monitoring fatigue strength of driver includes shining driver eye with infrared ray to obtain multiimage of different retina image at the same time, carrying out difference processing for collected images to obtain pupil images, using kalmen filter to trace pupil in real - time to obtain pupil characteristic parameter, processing the parameter to obtain maximum value of pupil size and real - time coroclisis percentage of pupil, calculating out PERCLOS value f and using BP network sorter to judge fatigue strength of driver based on obtained value f. The monitoring device is also disclosed.

Description

technical field

[0001] The invention relates to transportation engineering, in particular to a driver fatigue monitoring method and device. Background technique

[0002] At present, the recognition and monitoring technology for driver's eye fatigue characteristics is mainly based on monitoring the driver's mouth state to understand his behavior status and provide necessary auxiliary information for safe driving. Related documents include Shi Shuming, Jin Bensheng, Wang Rongben, Tong Bingliang, Journal of Jilin University (Engineering Edition), Vol. There is a certain difference in the degree of mouth opening of drivers in the three states of normal driving, talking and yawning (sleeping). According to this feature, the author uses the Fisher classifier to extract the contour and position of the lips, and then uses the geometric features of the lip area as the feature value to form a feature vector, which is used as the input of the three-layer BP neural network to combine n...

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