Negative expression identifying and encouraging system

Abstract

The invention provides a negative expression identifying and encouraging system which belongs to the technical field of image processing and artificial intelligence. The technical schemes of the invention are as follows. A computer camera captures and analyzes a user's expressions to help remove negative emotions. A system firstly pre-acquires the basic expression samples of the user and uses them as a characteristic template. A video is initiated in a fixed time to collect the facial images of the user in the fixed time. Then, the facial images experience pre-treatment, identification and analysis. The facial images that are acquired in real time are matched with the expression characteristic template for the changes in key characteristic parts in terms of European distance difference, geometrical shape, curvature and angle. The similarity is compared to determine whether the user's expressions are angry, anxious, tired or happy ones. A statistic shape and other statistical methods are used to analyze and determine whether the user's mood in a certain period is negative or not and the system reminds the friends of the user of the negative mood of the user; and after the reminding when the user's expressions become good again, rewards and encouragement are given accordingly. With the system, the working mood of an employee can be improved; the working efficiency is raised; and the economic gains of an enterprise go up as well.

Description

technical field [0001] The invention belongs to the field of image processing methods and artificial intelligence, and uses facial expression collection, analysis, and recognition technologies to give reminders, help and encouragement to negative emotions, and involves face image collection and detection, face image preprocessing, and face image Feature extraction, face image matching and recognition, comprehensive shape statistical analysis, artificial intelligence and network interaction and other technologies. Background technique [0002] Now employees are under great pressure in work and life, and often unconsciously produce negative expressions such as frowning, nervousness, unhappiness, and burnout. Such expressions will lead to bad moods for a long time. This negative energy is harmful to health and affects work and life. Quality needs to be reminded in time through external help to relieve anxiety and break the vicious cycle of bad mood. [0003] At present, face r...

AI Technical Summary

Problems solved by technology

[0002] Now employees are under great pressure in work and life, and often unconsciously produce negative expressions such as frowning, nervousness, unhappiness, and burnout. Such expressions will lead to bad moods for a long time. This negative energy is harmful to health and affects work and life. Quality needs to be reminded in time through external help to relieve anxiety and break the vicious cycle of bad mood

[0003] At present, face recognition technology is mainly used in security checks, identity recognition and expression analysis. Face expression recognition and analysis are used to promote mental health, health care, and virtual emotional interaction.

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