Fatigue detection method based on multi-source information fusion

Abstract

The invention discloses a fatigue detection method based on multi-source information fusion. Electroencephalogram signals, twinkling information and electrocardiosignals of a testee are synchronously collected by means of an electroencephalogram collecting device and an electrocardiogram collecting device respectively; electroencephalogram signal features including the relative energy of electroencephalogram rhythm waves alpha, beta, theta and delta, electro-oculogram information including twinkling frequency E and twinkling intensity F, and electroencephalogram features including heart rate values HR, LF and HF are extracted; by means of the logistic regression algorithm, the fatigue degrees are primarily divided into three classes, namely, the non-fatigue degree, the mild fatigue degree and the deep fatigue degree, and meanwhile features with large weights are screened according to logistic regression weights for feature fusion; fused feature vectors are classified again by means of the bagging algorithm based on a support vector machine, the processed feature vectors serve as input of the bagging algorithm, and the current fatigue degree of the testee is determined; different fatigue relieving methods are used according to classification results of the fatigue degree of the testee. The method has the advantages of being high in applicability, high in fatigue detection precision, good in improvement effect and the like.

Description

technical field [0001] The invention relates to the field of human fatigue state detection, in particular to a fatigue detection method based on multi-source information fusion. Background technique [0002] At present, the detection methods of mental fatigue are mainly subjective evaluation method and objective evaluation method. Subjective evaluation is carried out in the form of document survey, which can provide a variety of information about mental fatigue, such as the time when fatigue occurs, the cause of fatigue and subjective discomfort, etc. However, the subjective evaluation and scoring standards are not easy to unify, and are greatly affected by memory and personal reasons, resulting in low accuracy of fatigue detection. The objective evaluation method is a method of recording and evaluating changes in some indicators of human behavior, physiology, and biochemistry with the help of auxiliary tools such as instruments and equipment. Including (1) psychological a...

AI Technical Summary

Problems solved by technology

At present, the research on physiological index evaluation method is the most in-depth, but it has the disadvantages of large equipment, poor portability, high cost, and low detection accuracy of a single index, so it is difficult to apply to fatigue detection in daily life.

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