Physiological signal emotion identification method based on subjective and objective fusion of multiple classifiers

Abstract

The present invention discloses a physiological signal emotion identification method based on subjective and objective fusion of multiple classifiers. The method comprises that: a user experiences theuse of the product, and fills in the Chinese version of the PAD emotion inventory questionnaire; the heart rate and skin electrical signals of the user are collected during the product experience process, processing and feature extraction are carried out on the two kinds of objective physiological signals; the extracted heart rate features and skin electrical features are respectively trained andidentified by using SVM classifiers; and the identification results of each classifier are expressed in the form of probability of the target category, and the identification results are normalized;weight assignment is carried out on each classifier, and the particle swarm optimization algorithm is used to optimize the weights; and finally, identification results for different emotional categories are fused, and the type of emotion with the highest identification rate is taken as the final emotional state. According to the method disclosed by the present invention, the method of multi-classifier fusion is used to balance the decision results of subjective, objective and different physiological signals, so that the final identification result is more accurate and reliable.

Description

technical field [0001] The invention belongs to the field of emotional cognition computing, and relates to a physiological signal emotion recognition method based on subjective and objective fusion of multiple classifiers. Background technique [0002] With the rapid development of science and technology and computer technology, human beings are increasingly dependent on computers, and people have higher and higher requirements for the intelligence of computers. This ability requires computers to think like people, and to understand and express people's emotions intelligently, so that computer users can study, work and live in a harmonious human-computer interaction environment. [0003] With the advent of the user experience economy, people's focus on products is no longer just the functionality, stability and safety of the product, but more fundamentally is the user's satisfaction in the process of using the product, which is the so-called good user experience. User expe...

AI Technical Summary

Problems solved by technology

At present, for the study of the correspondence between emotion and objective data that can reflect its characteristics, we mostly use a single physiological index, voice information, and facial expression features for analysis, but ignore the important factor of individual subjective feelings. The recognition rate may be relatively low

Images