Fine-grained human body fatigue detection method based on embedded device and device thereof

An embedded device and fatigue detection technology, which is applied in diagnostic recording/measurement, medical science, psychological devices, etc., can solve the problems of high fps camera price, low image accuracy, and huge amount of calculation, etc., to achieve enhanced general The effect of adaptability and robustness, good accuracy and real-time performance, and small amount of calculation

Active Publication Date: 2020-06-16
XI AN JIAOTONG UNIV
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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 lo

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  • Fine-grained human body fatigue detection method based on embedded device and device thereof
  • Fine-grained human body fatigue detection method based on embedded device and device thereof
  • Fine-grained human body fatigue detection method based on embedded device and device thereof

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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 based on an embedded device and device. The human body fatigue detection device is built by adopting an infrared light sensing device and an MCU control unit; collecting human eye state information through infrared light sensing equipment by utilizing the light absorption effect of human eye pupils; setting ADC conversion parameters of the MCU control unit, and converting an analog signal into a digital signal; carrying out initialization setting on each photodiode to obtain a reference value of a human eye opening state, and carrying out filtering and smoothing preprocessing on reference value data; processing the preprocessed data by using a CUSUM algorithm, and determining a potential blink position on a time domain; using two matching methods to judge a real blinking behavior; and estimating and judging the fatigue state by using a PERCLOS method to complete human body fatigue detection. According to the invention, the state information, the eye closing duration and the blinking duration of the human eyes can be collected more accurately, and long-term monitoring of fatigue in daily wearing is satisfied.

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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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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