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
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[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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