Driver fatigue state recognition method and system based on information fusion

A driver fatigue and driver technology, applied in the field of traffic engineering, can solve the problems of single information, low recognition accuracy and reliability, and achieve the effect of wide application prospects, reducing the number of traffic accidents, and strong practicability

Inactive Publication Date: 2010-10-27
CHINA AGRI UNIV
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Problems solved by technology

[0005] The purpose of the present invention is to provide a driver fatigue state recognition method and system based on information fusion, which can effecti

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  • Driver fatigue state recognition method and system based on information fusion
  • Driver fatigue state recognition method and system based on information fusion
  • Driver fatigue state recognition method and system based on information fusion

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Embodiment Construction

[0019] The inventor found in the process of realizing the present invention that the driver's fatigue status can be reflected in various aspects, and the physiological state, manipulation behavior and vehicle status all have a certain correlation with the driver's fatigue status, for example, the eyelids in the facial status Movement, head movement, eye sight and facial expression will all have obvious changes when the driver is fatigued; in terms of vehicle manipulation, the time domain and frequency domain indicators of the steering wheel angle, the grip force of the steering wheel, angular velocity, vehicle speed, pedal The pedaling force of the board and the lateral deviation of the vehicle trajectory are related to the driver's fatigue state to a certain extent. Based on this, the present invention grasps the key external symptoms when monitoring the driver's fatigue state, fuses the information of the eye state, steering wheel manipulation and vehicle trajectory, and appl...

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Abstract

The invention discloses driver fatigue state recognition method and system based on information fusion, wherein the method comprises the steps of: acquiring eye state information of a driver, operating state information of a steering wheel and track driving state information of a vehicle; processing the eye state information of the driver, the operating state information of the steering wheel and the track driving state information of the vehicle to obtain fatigue expression information of the driver; and carrying out weighting fusion processing on the fatigue expression information to obtain a fatigue membership degree corresponding to a drive fatigue grade, and obtaining the fatigue degree of the driver according to the fatigue membership degree. The invention improves the reliability and the accuracy of monitoring the driver fatigue state, can reduce the quantity of traffic accidents caused by the fatigue driving of the driver, ensures the road traffic safety, and has strong practicability because the acquisition of multi-source information does not cause the interference on the driving of the driver.

Description

technical field [0001] The invention relates to traffic engineering, in particular to a driver fatigue state recognition method and system based on information fusion. Background technique [0002] With the development of the economy and the sharp increase in the number of cars, the incidence of road traffic accidents has gradually increased, and driver fatigue driving is an important factor leading to road traffic accidents. Therefore, scientific and effective monitoring of driver fatigue is important to ensure Road traffic safety is of great significance. [0003] The monitoring of the driver's fatigue state in the prior art mainly adopts single-source information monitoring, for example, by monitoring the driver's physiological condition to determine whether the driver is in a fatigue driving state. EEG measurements, or electrocardiograms, have long been hailed as the "gold standard" for monitoring driver fatigue. The waves of different frequency bands in the brain wave...

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Application Information

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IPC IPC(8): G05B19/04G08G1/01
Inventor 宋正河朱忠祥谢斌毛恩荣张俊成波
Owner CHINA AGRI UNIV
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