Device and method for detecting fatigue state during simulated flight driving

Abstract

The invention relates to the field of flight simulation driving, in particular to a fatigue state detection device and a detection method in the simulation flight driving process. The method includes the steps of: (1) face positioning and eye positioning; (2) on the basis of positioning the human eyes, detecting the closing state of the driver's eyes in the current time period, and detecting the fatigue of the driver. The invention aims at capturing the face image of the driver through the front camera mode in the specific environment of the flight simulation cabin, and detects the face fatigue. The light source and the front camera realize self-adaptive adjustment, which collects face and eye image data more reasonably and effectively. The fatigue detection algorithm judges fatigue, which has the characteristics of fast speed and strong accuracy. The device is easy to operate, economical and practical, does not require specific additional operation steps, and has no harm to the body of the subject.

Description

technical field [0001] The invention relates to the field of flight simulation driving, in particular to a fatigue state detection device and a detection method in the simulation flight driving process. Background technique [0002] In recent years, global science and technology have been developing rapidly, and more and more high-tech technologies have also been applied to civil aviation airliners. Both the aesthetics of the exterior design and the comfort of the interior space of the aircraft have reached very high design standards. But people are often most concerned about security issues. [0003] Compared with road safety accidents and railway safety accidents, people tend to pay more attention to aviation safety accidents. The cockpit environment has a very close relationship with flight safety. The quality of crew coordination is an indicator of the cockpit environment; Psychological quality, personal physical condition, etc. are some factors that affect the cockpit ...

AI Technical Summary

Problems solved by technology

Most of the information during the flight of the aircraft comes from the pilot's visual system. The light environment in the cockpit of the aircraft will have a great impact on flight safety. The unfavorable light environment will cause false alarms and false alarms.

In view of the actual light influence of the simulated flight in the simulation cabin and the characteristics of the long flight time, most of the existing detection methods are not accurate enough, and long-term infrared radiation or brain wave detection will cause unpredictable physical damage to the subjects. harm

[0006] The disadvantages of existing flight fatigue detection methods are that the fatigue detection results are inaccurate, the detection time is too long, the device is complicated, and the long-term detection of brain waves is likely to cause unknown harm to the human body. The method and application scene are not suitable for simulating the flight cabin. special environment

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