Driver fatigue grade classification method based on decision tree
A driver fatigue and grade classification technology, applied in the field of image and sensor data acquisition and processing, can solve problems such as difficult control, long calculation time, unsatisfactory processing results, etc., and achieve the effect of reducing the number of judgments and making decisions quickly
Pending Publication Date: 2022-01-21
YANGZHOU UNIV
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However, this method has the problems of long calculation time, difficult control, and unsatisfactory processing results.
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[0033] The present invention will be further explained below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the following specific embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention.
[0034] A kind of driver fatigue level classification method based on decision tree provided by the present invention, its overall process is as follows figure 1 As shown, the detailed process is as follows image 3 As shown, it specifically includes the following steps:
[0035] Step 1, data collection and uploading, collecting the driver's facial expression, voice and vehicle driving status information during driving. Each type of state information has corresponding detailed driving attribute information (including the sending time of the data, and the key score of the corresponding attribute), there are 11 in total, which are transmitted to the background through t...
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The invention provides a driver fatigue grade classification method based on a decision tree. The method comprises five steps: data acquisition, interpolation fitting, measurement unification, rule base matching, and fatigue grade feedback; the five steps are as follows: acquiring facial expression, sound, and automobile driving state information in the driving process of a driver; acquiring fatigue grade threshold values of all attributes, and constructing 11 third-order B-spline curves through interpolation fitting; mapping and unifying 11 fitting functions to a function of y = x to realize measurement unification of different attribute fatigue levels; according to a special rule base, carrying out statistics on fatigue levels under a special condition combination, and then carrying out statistics on fatigue levels under a non-special rule base; returning a maximum value of the fatigue levels as a final fatigue level for output. According to the technical scheme, fatigue levels of a driver can be rapidly and accurately output, the judgment frequency of decision tree classification is reduced by means of interpolation fitting and unified measurement, and the method has the advantages of being high in decision speed and accuracy.
Description
technical field [0001] The invention belongs to the technical field of image and sensor data acquisition and processing, and relates to driver fatigue data detection and classification technology, in particular to a driver fatigue level classification method based on a decision tree. Background technique [0002] With the development of social economy and the increasing number of motor vehicles, fatigue driving has always been one of the important factors affecting driving safety. According to the statistics of our country's traffic department, traffic accidents caused by fatigue driving account for about 20% of total traffic accidents, 40% of serious traffic accidents and 83% of traffic deaths. Among them, the proportion of accidents caused by driver fatigue driving is as high as 73%. . At present, the main method of driving behavior detection is to detect some specific indicators of the driver's physiological psychology during driving. When a large amount of physiological...
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IPC IPC(8): G06V40/16G06V20/59G06V10/764G06K9/62G10L25/51G10L25/63G07C5/08G06F16/2458G08B21/06G08B21/18G08B21/24
CPCG10L25/51G10L25/63G07C5/0808G07C5/0841G06F16/2462G08B21/06G08B21/182G08B21/24G06F18/24323
Inventor 李志强杨冬晗
Owner YANGZHOU UNIV