Intelligent recognition device and method for fatigue state of driver

Abstract

The invention relates to intelligent recognition device and method for the fatigue state of a driver in the technical field of control in automobile engineering. The device comprises a pinhole camera, a signal processor, an automobile speed control mechanism and a voice player, wherein the output interface of the pinhole camera is connected with the image input interface of the signal processor through a video cable, and the output interface of the signal processor is respectively connected with the digital input interfaces of the automobile speed control mechanism and the voice player. The method comprises the following steps of: 1. learning a training sample by a system; and 2. online recognizing the fatigue state of the driver, wherein the step 1 comprises the steps of driver fatigue-state face image acquisition and color space conversion, human face central position and eye area determination, training sample characteristic value and characteristic vector computation and the like; and the step 2 comprises the steps of driver face image real-time acquisition and color space conversion, automatic determination of driver face central positions and eye areas, tracking for the driver eye areas, testing sample characteristic vector computation, driver fatigue-state recognition, vehicle control decision-making and the like. The invention ensures that the driving state of the driver can be accurately recognized in the driving process of vehicles, and the fatigue driving of the driver is prevented, so that traffic accidents caused by the fatigue of the driver can be effectively avoided.

Description

technical field [0001] The present invention relates to a device and method in the field of control technology in automobile engineering, in particular to an intelligent identification device and method for driver's fatigue state. Background technique [0002] As everyone knows, when the driver drives a car for a long distance, traffic accidents often occur because of the insurmountable physiological fatigue. Especially long-distance freight truck drivers will continue to drive for more than ten hours regardless of their physical condition out of consideration of economic interests. Drivers of such cargo trucks often fall asleep while driving, which can lead to tragic traffic accidents. According to statistics, in 2007, the number of deaths due to traffic accidents in my country reached more than 80,000 people, and the current situation of road traffic safety is not optimistic. The 2007 U.S. road traffic accident statistics showed that there were more than 1,400 accidents ...

AI Technical Summary

Problems solved by technology

The technical defect of this method is: "according to the estimated pixel block size of the human eye, remove the non-human eye area, and then combine the two-dimensional geometric relationship of the human eye to determine the human eyes", the accuracy of this method for identifying the human eye area is low , and misjudgments often occur, the reasons are: the size of human eyes is different, the density of hair is very different, and the color contrast of people's clothing is extremely large, so it is an extremely unreliable technology; there are many applicable restrictions, just as this The "Technical Specification" of the method itself says that "human eyes cannot be blocked"; there are requirements for the background, etc.

The technical defects of this method are mainly manifested in: "determining the search area of ​​the eyes" takes a lot of calculation time; using "fatigue indicators such as PERCLOS, average eye opening degree, and longest eye closing time to estimate the driver's fatigue state", Its detection accuracy is not high

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