Automobile driver fatigue identification method based on stress response ability

Abstract

The invention discloses an automobile driver fatigue identification method based on stress response ability and belongs to the technical field of automobile safety. The method comprises the followingsteps that data of the response time and execution time of a driver in the whole driving simulation process is acquired; probability density functions in different states are obtained, the response time and execution time of the driver in a waking state form normal distribution, and the response time and execution time of the driver in a fatigue state form logarithmic normal distribution; data conversion is conducted on two types of samples different in distribution to make measuring standards consistent; binary joint distribution of the response time and execution time after conversion is established to obtain the prior probability of the response time, the execution time and two fatigue states, and then the posterior probability of the response time and the execution time in the known fatigue state is obtained; a naive Bayes algorithm and a logistic algorithm are utilized to identify the fatigue of the driver. By adopting the automobile driver fatigue identification method, the influence of individual difference and distraction of the driver on fatigue judgment accuracy can be eliminated.

Description

Technical field [0001] The invention belongs to the technical field of automobile safety, and particularly relates to a method for identifying the fatigue state of a driver. Background technique [0002] Driving fatigue is mainly manifested as a longer reaction time and lower alertness of the driver after a continuous period of driving. If the driver continues to drive the vehicle after entering a fatigued state, road traffic accidents will easily occur. At present, there are two main problems in driving fatigue recognition: [0003] 1. It is difficult to determine the threshold of the driving fatigue identification index. Each driver has a different performance state when fatigued, and the fatigue identification threshold of one driver cannot be used to determine the fatigue state of other drivers. [0004] 2. During long-term driving, the driver will experience inattention, distraction, etc. in the awake state. In the fatigue state, the driver will resist fatigue and appear brief...

AI Technical Summary

Problems solved by technology

[0003] 1. It is difficult to determine the threshold value of the driving fatigue recognition index. Each driver behaves differently when fatigued, and it is impossible to use the fatigue recognition threshold of one driver to judge the fatigue state of other drivers

[0004] 2. During long-term driving, the driver will appear inattention and distraction in the awake state, and the driver in the fatigue state will resist fatigue and appear in a short-term awake state, which will lead to the identification of driving fatigue state mistake

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