Fatigue detection method for tracking eye movement rate based on one-dimensional projection
A fatigue detection and projection technology, which is applied in the acquisition/recognition of eyes, instruments, biological neural network models, etc., can solve the problems of long detection time and application environment limitations, and achieve the advance of fatigue warning time, detection speed and accuracy. , to avoid the effect of easy error accumulation
Active Publication Date: 2021-07-09
KUNMING UNIV OF SCI & TECH
View PDF6 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
At present, the detection methods for fatigue are mainly classified into two categories, one is fatigue detection based on physiological characteristic parameters, such as analyzing the electroencephalogram signal (EEG), electrocardiogram signal (ECG) or electromyography signal (EMG), the fatigue state The physiological information under the normal state is compared with the physiological information under the normal state to find out the physiological characteristic information of the fatigue state. This method has a fast detection speed and high accuracy. The application environment is subject to many restrictions
The other is to extract the features of the facial image of the target based on digital image processing, and judge the blinking frequency of the eyes or the PERCLOS value to judge the fatigue according to the facial feature information. or PERCLOS value to judge, the detection time is relatively long
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment 1
[0026] Embodiment 1: as figure 1 As shown in the flowchart, a fatigue detection method based on one-dimensional projection tracking eye movement rate is specifically divided into the following steps:
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more PUM
![No PUM](https://static-eureka.patsnap.com/ssr/23.2.0/_nuxt/noPUMSmall.5c5f49c7.png)
Abstract
The invention provides a fatigue detection method for tracking an eye movement rate based on one-dimensional projection. A single-target image sequence shot by a camera is used as input data. The method comprises the following steps: firstly, extracting detected eye images by using an eye detection module, and outputting the eye images as modules according to a sequence; secondly, performing gray normalization processing on the eye image, performing vertical projection along the x-axis direction, and calculating a variance value of one-dimensional projection; finally, calculating the variance value change rate in the eye closing process to serve as the eye movement rate in the eye closing process, and judging whether the detected target is fatigued or not according to whether the eye movement rates are larger than 0.06 or not continuously twice. According to the method, on the basis that the eyelid movement rate in the eye closing process in the fatigue state is obviously smaller than that in the non-fatigue state, compared with a traditional method based on the blinking frequency or the PERCLOS value, the detection time is shortened to be within several seconds from the minute level, and the early warning time is greatly shortened. Meanwhile, redundant information of the image is eliminated through one-dimensional projection, the calculation amount is reduced, and the requirement of the system for hardware is lowered.
Description
technical field [0001] The invention relates to a fatigue detection method based on one-dimensional projection tracking eye movement rate, which belongs to the field of computer digital image processing. Background technique [0002] Fatigue detection has a wide range of applications in dangerous driving warning and high-risk work mental state detection. At present, the detection methods for fatigue are mainly classified into two categories, one is fatigue detection based on physiological characteristic parameters, such as analyzing the electroencephalogram signal (EEG), electrocardiogram signal (ECG) or electromyography signal (EMG), the fatigue state The physiological information under the normal state is compared with the physiological information under the normal state to find out the physiological characteristic information of the fatigue state. This method has a fast detection speed and high accuracy. The application environment is subject to many restrictions. The o...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more Application Information
Patent Timeline
![application no application](https://static-eureka.patsnap.com/ssr/23.2.0/_nuxt/application.06fe782c.png)
IPC IPC(8): G06K9/00G06K9/62G06N3/04
CPCG06V40/197G06V40/19G06V20/597G06N3/045G06F18/214
Inventor 禹江林张云
Owner KUNMING UNIV OF SCI & TECH
Who we serve
- R&D Engineer
- R&D Manager
- IP Professional
Why Eureka
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Social media
Try Eureka
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap