Depression degree evaluation method, system and device and storage medium

Abstract

The invention discloses a depression degree evaluation method, system and device and a storage medium. The method comprises the following steps: acquiring a first video, wherein the first video is a video containing character expression change and character voice; randomly intercepting a first group of pictures, wherein the first group of pictures are continuous multi-frame pictures in the first video; inputting the first group of pictures into a facial expression recognition model for processing to obtain a plurality of expression feature vectors; inputting the plurality of expression feature vectors into a micro-expression depression recognition model for processing to obtain a first score; extracting a first audio, wherein the first audio is a voice segment corresponding to the first group of pictures; inputting the first audio into a voice depression recognition model for processing to obtain a second score; and evaluating the depression degree according to the first score and the second score. According to the method, the depression degree is evaluated by effectively combining the two indexes of voice and micro-expression, the evaluation precision is higher, and the robustness is higher. The method can be widely applied to the technical field of depression evaluation.

Description

technical field [0001] The invention relates to the technical field of depression evaluation, in particular to a method, system, device and storage medium for evaluating the degree of depression. Background technique [0002] Depression is one of the most common mental illnesses today. According to the World Health Organization survey in 2021, about 350 million people worldwide suffer from depression, of which about 65% have thought of suicide, and about 15% have committed suicide. There are many symptoms of this disease, often manifested as long-term depression, indulging in bad emotions, such as sadness, guilt, low self-esteem, loss of interest, functional decline, etc., which seriously affects people's physical and mental health. Society is a great loss. Therefore, early detection of depression, timely treatment, and nip the problem in the bud are the key to solving the problem; however, the process of detecting depression in the hospital is very complicated, and many p...

AI Technical Summary

Problems solved by technology

Therefore, the key to solving the problem is to detect depression as early as possible, treat it in time, and nip the problem in the bud. However, the process of detecting depression in the hospital is very complicated, and many people may not want to go to the hospital for examination because of laziness, troublesomeness, or lack of money.

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