Human face image based emotional health monitoring method and mobile phone

Abstract

The invention relates to a human face image based emotional health monitoring method. The method includes the steps of automatically capturing a human face image of a user, constructing a human face image feature vector, completing human face authentication, classifying human face emotions, early warning emotional health and sending early warning information. The invention also discloses a human face image based emotional health monitoring mobile phone. The mobile phone comprises a user mobile phone using detection module, a mobile phone camera control module, a human face image capturing module, a human face image feature vector building module, a human face recognition module, a human face emotion classification module, an emotional health early warning module, an early warning information sending module, an emotional record management module, a human face expression classification model learning module and a human face recognition model learning modules. The human face image based emotional health monitoring method and mobile phone has the advantages that the human face expression capturing is more natural, the emotional health status evaluation is more real and the emotional health monitoring is easier and easy to use.

Description

technical field [0001] The invention relates to an emotional health monitoring method based on a human face image and a mobile phone, belonging to the technical fields of medical health, machine learning and mobile Internet. Background technique [0002] The emotional state reflects the state of mental health. At present, many people are facing psychological pressure, and more or less there will be some psychological and emotional problems, manifested as irritability, anxiety, depression, etc., which need to be guided in time. People who lack academic knowledge are generally difficult to detect, so it is very important to automatically monitor and remind with the help of information technology. Facial expressions contain rich emotional information, which is an important way for us to understand emotions. Therefore, through the analysis of facial expressions, we can realize the identification of human emotional states, and then judge the emotional health of human beings, and ...

AI Technical Summary

Problems solved by technology

At present, no method of emotional health monitoring based on facial images has been found in China.

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