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Driving fatigue detecting method and system

A driving fatigue detection method technology, applied in the field of driving safety, can solve problems such as complex calculation methods, difficulty in whole brain area leads, and inability to continuously detect driver fatigue status, so as to achieve simple calculation process and avoid fatigue detection results Effect of lag, real-time data output

Active Publication Date: 2019-03-01
JIANGXI UNIV OF TECH
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Problems solved by technology

[0007] For this reason, an object of the present invention is to propose a kind of driving fatigue detection method, to solve the problems that the whole brain area lead is difficult in practical application, the fatigue state of the driver cannot be continuously detected, and the calculation method is too complicated

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  • Driving fatigue detecting method and system
  • Driving fatigue detecting method and system

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Embodiment Construction

[0084] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0085] see figure 1 , the driving fatigue detection method proposed in the first embodiment of the present invention includes steps S101-S103:

[0086] S101, continuously collect the EEG signals of the two leads of the driver's forehead according to the preset sampling frequency, so as to obtain the EEG signal samples in the fatigue state; ...

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Abstract

The invention discloses a driving fatigue detecting method and system. The method includes the steps of continuously collecting brain electric signals of two leads of a forehead of a driver multiple times according to the preset sampling frequency to obtain brain electric signal samples, dividing the brain electric signal samples according to a sampling period to form a sample vector set with thesampling period as the length, calculating the synchronism of the two leads of each sample vector set, conducting time duration discretization on the calculated synchronism result to screen out peculiar samples and obtain target samples, determining the fatigue threshold according to the target sample and the driving fatigue state variation features of the driver, online collecting the brain electric signals of the driver, calculating the synchronism result in real time, and comparing and analyzing the synchronism result calculated in real time and the fatigue threshold to determine whether the driver is in a fatigue state at present or not. By means of the method, the problem that in the actual application of the full brain area leads, the fatigue state of the driver cannot be easily or continuously detected, and the calculating method is too complicated can be solved.

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] The driving fatigue detection method based on EEG signals is the main solution for driving fatigue detection at present, but the current driving fatigue detection method based on EEG signals still has the following problems: [0004] 1. The signal acquisition uses the whole brain area. Although the use of the whole brain area in the laborator...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/18A61B5/0476
CPCA61B5/18A61B2503/22A61B5/369
Inventor 穆振东
Owner JIANGXI UNIV OF TECH
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