Depression level testing system

Abstract

The invention relates to the technical field of artificial intelligence, and provides a depression level test system. The system comprises a questionnaire data acquisition module, a video data processing module, a model analysis module and a model evaluation module. The questionnaire data acquisition module acquires answering questionnaire data and answering video data of a user to be evaluated; the video data processing module counts an answering score according to the answering questionnaire data and performs video frame extraction on the answering video data to obtain a video frame set corresponding to the answering video data; the model analysis module inputs each video frame in the video frame set into a trained facial analysis model to obtain an expression category and eyeball identification data of each video frame, and obtains a to-be-evaluated parameter of the to-be-evaluated user according to the answer score, the expression category and the eyeball identification data of each video frame; and the model evaluation module inputs the to-be-evaluated parameters into the trained depression level test model to obtain a depression level test result. By adopting the system, the depression degree can be monitored in real time.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, in particular to a depression level testing system. Background technique [0002] Depression, also known as depressive disorder, is characterized by significant and persistent low mood and is the main type of mood disorder. The main manifestations of depression include: low mood, slow thinking, decreased volitional activity, loss of cognitive function, and somatic symptoms such as sleep disturbance. According to the survey, the incidence rate of depression in my country is 3%-5%. At present, more than 90 million people in China suffer from depression. [0003] Traditional screening for depressive symptoms requires cumbersome medical diagnosis and treatment. It needs to go through processes such as questionnaire surveys, laboratory tests, and impact checks. Doctors need to evaluate the degree of depression based on the user's current status, medical history, and filling ...

AI Technical Summary

Problems solved by technology

[0004] However, due to the need for cumbersome medical diagnosis and treatment, traditional depressive symptom screening requires questionnaire surveys, laboratory tests, impact checks and other processes. There is a problem of long screening time, and it cannot support users to monitor their own depression in real time.

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