Method and system for detecting psychological abnormalities based on multi-channel collaboration

Abstract

The invention provides a method and system for detecting psychological abnormalities based on multi-channel collaboration, and relates to the field of computer data processing. The method comprises the following steps that subjective feedback data and objective response data of a to-be-detected object are acquired; the objective response data is processed; based on the subjective feedback data andthe processed objective response data, psychological state data is obtained, wherein the psychological state data comprises total psychological state data of the population and multi-day historical psychological state data of the to-be-detected object; based on a pre-constructed multivariate Gaussian distribution model, the psychological state data is processed separately, and two probabilities are obtained; based on the two probabilities, the psychological abnormality degree and individual historical psychological abnormality degree of the to-be-detected object in the population are acquiredseparately; based on the two abnormality degrees, whether or not the to-be-detected object is in a psychological abnormality state is determined. The method and system can accurately detect whether or not people are in psychological abnormality states.

Description

technical field [0001] The present invention relates to the technical field of computer data processing, in particular to a method and system for detecting psychological anomalies based on multi-channel collaboration. Background technique [0002] In the current social situation, people are more or less psychologically abnormal. In most cases, psychological abnormalities will not affect people's normal life. Targeted treatment may lead to further extreme psychology such as world-weariness and revenge, endangering personal health and even social security, especially for special groups of people, such as soldiers and prisoners, whose psychological abnormalities need to be taken seriously. Therefore, it is very necessary to detect whether people are psychologically abnormal. [0003] The existing detection methods generally realize the emotion recognition of faces in a given image by training a deep neural network with a given training set, and judge whether there is a psychol...

AI Technical Summary

Problems solved by technology

[0006] Aiming at the deficiencies of the prior art, the present invention provides a method and system for detecting psychological abnormalities based on multi-channel coordination, which solves the technical problem that the prior art cannot accurately detect psychological abnormalities

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