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A fatigue detection method based on eye movement

A technology of fatigue detection and eye movement, which is applied in the field of fatigue detection, can solve the problems of not being able to accurately detect whether it is in a fatigue state or not, and achieve the effect of reducing performance requirements and accurately expressing fatigue

Active Publication Date: 2022-08-05
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It can be seen that the duration of blinking may appear more in the early stage of fatigue, and it is not an obvious feature. Simple features such as blinking duration cannot completely and accurately express fatigue, so it is impossible to accurately detect whether it is entering a fatigue state

Method used

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  • A fatigue detection method based on eye movement
  • A fatigue detection method based on eye movement
  • A fatigue detection method based on eye movement

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0041] The present invention provides a method for detecting fatigue based on eye movement, the steps comprising:

[0042] S1. Establish an initial classification model, including two states of wakefulness and fatigue;

[0043] It is understandable that the initial classification model was established by conducting a mental rotation eye movement experiment and an event scene experiment on the subjects.

[0044] Specifically, mental rotational eye-tracking experiments such as figure 1 As shown, a three-factor within-subject repeated-measures experimental design of 2 (figure pair type) × 5 (rotation angle) × 2 (fatigue state) was adopted, and one of the factors was the figure pair type, which was divided into plane pairs (one of the figures in the plane Rotate up a certain number of degrees), mirror pair (two different graphics) two levels. Another factor is the rotation angle of the graphic, which is divided into clockwise 0°, 45°, 90°, 135°, and 180°. The fatigue state is d...

Embodiment 2

[0090] The difference between this embodiment and Embodiment 1 is that in the step S3, the new sequence of eye movements is constructed, such as figure 2 and image 3 As shown in the figure, the collected blink event sequence is converted, and the blink frequency input sequence, the blink average duration sequence and the blink duration sequence are established respectively,

[0091] Among them, the blink frequency input sequence is constructed with a sampling interval of 6s.

[0092] Among them, the average blink duration sequence defines the sampling interval of 6s.

[0093] Among them, the blink duration sequence defines the sampling interval of 6s.

Embodiment 3

[0095] The difference between this embodiment and Embodiment 1 is that in the step S4, the blink frequency input sequence, the blink average duration sequence, and the blink duration sequence are respectively subjected to Fourier transform, and then the Fourier transform of each frequency point in the low frequency range is calculated. Amplitude and.

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Abstract

The invention discloses a method for detecting fatigue based on eye movement. The steps include S1, establishing an initial classification model, including two states of awake and fatigued; S2, collecting eye movement data, and recording eye movement features, including blink events, through a high-speed camera Sequence, S3, eye movement new sequence construction, convert the collected blink event sequence, respectively establish the blink frequency input sequence, the average blink duration sequence and the blink duration sequence, S4, eye movement feature extraction, the blink frequency input sequence graph, Fourier transform is performed on the average blink duration sequence diagram and the blink duration sequence diagram respectively; S5, output results, the indicators are discriminated by the initial classification model, and output the first results of the awake state and the fatigue state. Data features in eye movements were extracted, more reflective of brain fatigue than other surface features. Therefore, it is more accurate and sensitive in expressing fatigue.

Description

technical field [0001] The invention relates to the technical field of fatigue detection, in particular to a fatigue detection method based on eye movement. Background technique [0002] With the faster and faster pace of life, people often enter a state of fatigue unknowingly, and working in a state of fatigue poses a great safety risk. It is especially obvious that in recent years, with the improvement of the living standards of the public, the per capita ownership of automobiles by people in various countries has also become more and more. However, the accompanying traffic accidents are also increasing. Studies have shown that fatigue driving is one of the important reasons for the increasingly serious traffic accidents. Therefore, it is of great practical significance to develop a real-time and accurate detection of driver fatigue and provide early warning. [0003] It is generally believed that blink time increases when fatigued. Therefore, this detection method uses...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V20/59G06V40/18
CPCG06V40/197G06V40/193G06V20/597
Inventor 陈飞燕吴云鹰徐天勇
Owner ZHEJIANG UNIV