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Drowsiness detection method based on human eye state

A detection method and human eye technology, which are applied in the directions of eye acquisition/recognition, calculation, character and pattern recognition, etc., can solve the problem of insufficient sleep recognition accuracy, and achieve the effect of improving accuracy

Active Publication Date: 2022-04-15
ZHEJIANG ZHENGYUAN ZHIHUI TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

But the existing technology, the accuracy of drowsiness recognition is not high enough

Method used

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  • Drowsiness detection method based on human eye state
  • Drowsiness detection method based on human eye state
  • Drowsiness detection method based on human eye state

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Embodiment Construction

[0047] The present invention will be specifically introduced below in conjunction with the accompanying drawings and specific embodiments.

[0048] Such as figure 1 Shown is a drowsiness detection method based on the state of the human eye of the present invention, which includes the following steps: Step S1: Obtain the standard human eye area of ​​the person to be detected. Step S2: Collect the video information of the person to be detected and the distance information between the person to be detected and the image acquisition device corresponding to each frame of image in the video information. Step S3: Segment the human eye area of ​​each frame image of the video information. Step S4: Calculate the actual human eye area of ​​the human eye area corresponding to each frame of image. Step S5: Correct the actual human eye area according to the distance information corresponding to each frame of image. Step S6: Comparing the actual human eye area corresponding to each frame ...

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Abstract

The invention discloses a drowsiness detection method based on human eye state, comprising: obtaining the standard human eye area of ​​the person to be detected; collecting video information of the person to be detected and the person and image corresponding to each frame of image in the video information Collect the distance information between devices; segment the human eye area of ​​each frame of video information; calculate the actual human eye area of ​​the human eye area corresponding to each frame of image; according to the distance information corresponding to each frame of image The actual human eye area is corrected; the actual human eye area corresponding to each corrected frame image is compared with the standard human eye area, and the drowsiness state of the subject to be detected is judged according to the comparison result. The drowsiness detection method based on the human eye state of the present invention further improves the accuracy of drowsiness detection by calibrating the area of ​​the human eye area in the video frame.

Description

technical field [0001] The invention relates to a drowsiness detection method based on human eye state. Background technique [0002] Today, artificial intelligence + medical care, artificial intelligence + education, and artificial intelligence + models can be seen everywhere in life. Among them, artificial intelligence + education has received extensive attention from all walks of life. Its research focuses on "students in class" and "learning process", with the purpose of promoting students to concentrate on learning in class. Among them, collecting the data of students in the learning classroom is the basis of the research. It is precisely because of the support of data that the field of artificial intelligence continues to expand. Otherwise, the artificial intelligence + model cannot be realized. [0003] At present, many researchers in China have provided a large number of research methods on drowsiness recognition. But the existing technology, the accuracy of drow...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V40/16G06V40/19G06V10/26
Inventor 蔡宇峰
Owner ZHEJIANG ZHENGYUAN ZHIHUI TECH