“Smart Diagnosis” - An Intelligent Judgment System Based on Valid Characteristics of Depressed People

This article is aimed at depressed people, in order to improve the early recognition rate of depression and make accurate clinical diagnosis, the article is based on the intelligent judgement system of the degree of depression based on facial, linguistic and eye coupling, and puts forward a research scheme to establish a facial, linguistic and eye feature subsystem and user data based on facial, linguistic and eye coupling combined with fuzzy algorithms, and through the collection subsystem collected by the facial, linguistic and eye feature data to generate a training set, which is continuously trained by the fuzzy data analysis fusion analogue-to-digital conversion algorithm, which improves the recognition rate of depression and prevents the deterioration of depression. A methodological study is provided and a basic study of feature point processing is also provided. It has the functions of easy to use, accurate recognition, intelligent noise reduction, and multi-coupling to establish a system with authority, accuracy, and completeness for the needy people.