Emotion recognition method and system based on filtering type feature selection

Abstract

The invention discloses an emotion recognition method and system based on filtering type feature selection, and the method comprises the steps: collecting an original electrocardiosignal, an original pulse wave signal and an original skin electric signal, and obtaining a single signal sample set; performing signal de-noising processing, down-sampling processing and decomposition processing on the single signal sample set to obtain a pre-processed signal; performing time domain feature extraction, frequency domain feature extraction and nonlinear feature extraction on the preprocessed signals to obtain signal features; feature selection and feature fusion are carried out on the signal features, and a fusion signal sample set is constructed; and training a classification model based on the fusion signal set to obtain a multi-physiological signal emotion recognition model. The system comprises a data acquisition module, a data preprocessing module, a feature extraction module, a feature selection module and an identification module. According to the invention, the emotion features can be completely expressed, so that the effect of the emotion recognition model is improved. The method can be widely applied to the field of emotion recognition.

Description

technical field [0001] The present invention relates to the field of emotion recognition, in particular to an emotion recognition method and system based on filter feature selection. Background technique [0002] Nowadays, with the acceleration of the pace of life, people are also facing more and more workloads, and family life is also facing more and more pressure. More vulnerable, which in turn creates a psychological burden. The emotional state can intuitively reflect the degree of pleasure of the emotion recognizer's response during this period, which is helpful for subsequent adjustments or interventions. At present, emotion recognition can be carried out through portraits, facial expressions, voice and text. However, in these studies, the actual emotions are easily controlled by the subjects' subjective consciousness to hide the actual emotions, which leads to the problem of inaccurate emotion recognition results. Contents of the invention [0003] In order to solve...

AI Technical Summary

Problems solved by technology

At present, emotion recognition can be carried out through portraits, facial expressions, voice and text, but in these studies, the actual emotions are easily controlled by the subjects' subjective consciousness, resulting in the problem of inaccurate emotion recognition results

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