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Personal emotional arousal recognition method using multi-channel information fusion

A wake-up, multi-channel technology, applied in applications, sensors, medical science, etc., can solve problems such as the decline in recognition level and the lack of practicality of the technology, and achieve improved effectiveness and accuracy, reduced computational complexity, and high recognition rate Effect

Inactive Publication Date: 2019-01-04
SOUTHWEST UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] At the same time, due to the large differences in the physiological structure and psychological level of human individuals, previous studies often try to establish a universal emotion recognition model, which will inevitably lead to a decline in the recognition level, making the technology lack of practicability

Method used

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  • Personal emotional arousal recognition method using multi-channel information fusion
  • Personal emotional arousal recognition method using multi-channel information fusion
  • Personal emotional arousal recognition method using multi-channel information fusion

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Embodiment Construction

[0027] The present invention will be further elaborated below in conjunction with the accompanying drawings and specific embodiments.

[0028] 1. A method for establishing a personal emotional arousal prediction and recognition model. This method mainly collects personal emotional arousal signals in advance before prediction, performs data preprocessing, and uses the collected data to train the emotional arousal prediction and recognition support vector machine for the individual. Regression models are used to provide subsequent real-time predictive recognition.

[0029] (1-1) Training data collection and acquisition

[0030] In the early stage, the subjects need to tell their most memorable experiences in the collection environment according to their own memories. It is suggested that the subjects' stories include typical emotional state events such as happiness, sadness, anger, and fear. During the narration process, the multi-channel physiological recorder MP150 provided b...

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Abstract

The present invention discloses a method for identifying personal emotional arousal degree using human electrocardiogram (EEG), skin electrocardiogram (EDA), sound signal and facial video signal. TheECG, skin electrogram, voice and facial video signals were collected and 22 features are extracted as training data. Emotional arousal level is evaluated by professionals as evaluation data. Feature extraction and feature data standardization are carried out on the training data in turn. Support vector regression (SVR) model is trained by using the processed training data and evaluation data. Whenpredicting and identifying the emotional arousal, the signal data is input to the trained model, and the model is used to predict and identify the emotional arousal state level of the individual.

Description

technical field [0001] The invention is a method for identifying human emotional arousal. Mainly involved in related technical fields of computer science and psychology. Background technique [0002] James A. Russel proposed the Arousal-Valence emotion model in 1980 (as attached figure 1 ), which is currently one of the important models for emotional measurement in psychology. The model mainly uses arousal (arousal) and valence (valence) as metrics to measure human emotional state. Among them, "awakening" refers to physical or psychological awakening or re-response to external stimuli. Activation of the brainstem, autonomic nervous system and endocrine system allows the body to increase heart rate and blood pressure to prepare for external stimuli, movements and responses. Arousal emotions include: sadness, anger, and joy, among others. Emotional arousal is a measure of the degree of arousal of human emotions. In this method, we define emotional arousal in the [-1,1] ma...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0402A61B5/04A61B5/16
CPCA61B5/165A61B5/7235A61B5/7257A61B5/24A61B5/318
Inventor 赖祥伟刘光远路晨
Owner SOUTHWEST UNIVERSITY
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