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A fine-grained human fatigue detection method and device based on embedded devices

A fatigue detection and human body technology, applied in diagnostic recording/measurement, medical science, diagnosis, etc., can solve the problems of high fps camera price, low image accuracy, and huge calculation amount, and achieve enhanced universality and robustness The effect of good stickiness, accuracy and real-time performance, and a small amount of data calculation

Active Publication Date: 2021-08-13
XI AN JIAOTONG UNIV
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the image method is not mainly used for the extraction of human eye state information after all, so the image method will be limited to: the interference of ambient light in daily applications, the detected person needs to be in the state of facing the camera for a long time, and the image accuracy is not high And the amount of calculation is huge, the price of high fps camera is too high, etc.
These limitations have caused the image to use human eye information to perform fatigue detection in the laboratory, which is difficult to promote.

Method used

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  • A fine-grained human fatigue detection method and device based on embedded devices
  • A fine-grained human fatigue detection method and device based on embedded devices
  • A fine-grained human fatigue detection method and device based on embedded devices

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Embodiment Construction

[0056] The present invention provides a fine-grained human fatigue detection method and device based on an embedded device. Using the absorption of light by the pupil of the human eye, a near-infrared sensor is arranged on the glasses worn daily to establish real-time collection of human eye state information. Computing and transmission equipment and detection system; after preprocessing, filtering and smoothing the collected human eye state information data, and then performing blink position judgment, blink feature extraction and blink behavior detection steps, the human eye state information will be The eigenvectors of the data are put into the logistic regression classifier to judge the fatigue state of the human body, and finally, the energy-saving strategy is used to greatly increase the use time of the fatigue detection glasses. Compared with the existing fatigue detection technology, the present invention can adapt to various application scenarios. It can not only monit...

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Abstract

The invention discloses a fine-grained human body fatigue detection method and device based on an embedded device. The infrared light sensing device and an MCU control unit are used to build a human body fatigue detection device; Collect human eye state information; set the ADC conversion parameters of the MCU control unit to convert the analog signal into a digital signal; and initialize each photodiode to obtain the reference value of the human eye open state, and filter and analyze the reference value data Smoothing preprocessing; use the CUSUM algorithm to process the preprocessed data to determine the potential blink position in the time domain; use two matching methods to judge the real blinking behavior; use the PERCLOS method to estimate and judge the fatigue state, and complete the human fatigue detection. The present invention can more accurately collect the state information of human eyes, the duration of eye closure and the duration of blinking, and satisfies the long-term monitoring of fatigue for daily wear.

Description

technical field [0001] The invention belongs to the technical field of human fatigue detection, and in particular relates to a fine-grained human fatigue detection method and equipment based on an embedded device. Background technique [0002] Human fatigue detection has always been a research hotspot in many industries: In the transportation industry, the number of accidents caused by fatigue of automobile drivers and railway locomotive drivers will increase every year with the increase of vehicles and the continuous extension of locomotive traffic. At the same time, in the medical field, fatigue is the leading signal of some health problems, such as cancer, addictive mental diseases, etc., through daily monitoring of patient fatigue, so as to assist doctors to make timely early warning and judgment. There are many existing fatigue detection methods, and the common ones can be divided into methods based on human physical signals and methods based on human behavior signals. ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/16A61B5/11A61B5/00A61B5/18
CPCA61B5/1103A61B5/1126A61B5/168A61B5/18A61B5/6803A61B5/7203A61B5/725A61B5/7267A61B2503/22
Inventor 丁菡何旭戴梓怡邹祥韩劲松惠维
Owner XI AN JIAOTONG UNIV
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