Method and equipment for judging emotions by combining HRV signals and facial expressions

Abstract

The invention relates to a method and equipment for judging emotions by combining HRV signals and facial expressions. The method comprises the steps as follows: before use: classifying emotions, and establishing an HRV signal database and emotion intervals; establishing a facial expression database and emotion intervals; and in use: acquiring real-time HRV signal data and comparing the HRV signaldata to judge emotions, collecting real-time facial expression data and comparing the facial expression data to judge emotions, when the two judgments are consistent, outputting emotions, otherwise determining that the output is invalid, re-collecting HRV signal data and facial expression data until the two judgments are the same, and outputting the emotions. Emotions are output according to the combination of two indicators, the evaluation effect is more accurate, and deliberate suppression and false emotions are avoided.

Description

technical field [0001] The invention relates to a method and equipment for judging emotions by combining HRV signals and facial expressions, and belongs to the technical field of judging human facial expressions. Background technique [0002] Emotion Management (Emotion Management) refers to fully excavating and cultivating the emotional intelligence of individuals and groups and cultivating the ability to control emotions through the study of individuals and groups' understanding, coordination, guidance, interaction and control of their own emotions and the emotions of others, so as to ensure that individuals Maintain a good emotional state with the group, and thus produce good management effects. [0003] In today's high-paced living environment, it is very necessary to manage personal emotions well. The premise of emotion management is to be able to judge emotions. At present, there is no effective and intuitive method for judging emotions. In many cases, people are not...

AI Technical Summary

Problems solved by technology

[0005] Face recognition has become a very mature technology. Face recognition only selects multiple fixed points and compares them with the collected pictures to judge yes or no, whether the output face matches, and cannot effectively recognize facial expressions.