Multi-physiological signal emotion quantitative evaluation method based on two-dimensional continuous model

Abstract

The invention discloses a multi-physiological signal emotion quantitative evaluation method based on a two-dimensional continuous model, and the method comprises the steps: collecting and preprocessing multi-physiological signal data, and obtaining a preprocessed signal; performing time domain feature, frequency domain feature and nonlinear domain feature extraction processing on the preprocessed signals to obtain multiple physiological signal features; fusing the multiple physiological signal features and training a support vector regression model to obtain an emotion recognition model; and obtaining a to-be-detected signal, inputting the to-be-detected signal to the emotion recognition model, and outputting an emotion evaluation result. By using the method and the system, the emotion can be objectively and accurately analyzed by using the physiological signal, and the method and the system have certain universality. The multi-physiological-signal emotion quantitative evaluation method based on the two-dimensional continuous model can be widely applied to the field of predictive analysis.

Description

technical field [0001] The invention relates to the field of predictive analysis, in particular to a method for quantitatively evaluating emotions of multiple physiological signals based on a two-dimensional continuous model. Background technique [0002] Individuals' psychological changes, physiological changes, and behavioral changes caused by internal and external factors are all attributed to changes in their own emotions, which can be perceived and identified. Inter-subject variability greatly complicates the development of automatic emotion recognition models. In order to achieve the goal of quantifying individual emotional states, effective methods are needed to quantitatively assess emotions. So far, the most commonly used clinical method for assessing emotional state is scale questionnaire assessment, which is easily affected by the patient's own consciousness and is highly subjective. Contents of the invention [0003] In order to solve the above-mentioned tech...

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Problems solved by technology

So far, the most commonly used clinical method for assessing emotional state is scale questionnaire assessment, which is easily affected by the patient's own consciousness and is highly subjective.

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