Investigating the mechanisms of drama therapy's effects on adult mood swings using time series analysis

Abstract

The role of art healing is gradually being emphasized by modern people. And with the maturity of physiological signal processing technology, combining technology with art brings more possibilities for the application of art healing. In this paper, while choosing drama therapy as a modality for adult emotional healing, a physiological signal feature extraction model based on contrast learning (TS-TWC) is introduced. Using the Time-Wavelet Contrast Module and Three-View Contrast Module, the emotional fluctuation features of the subjects were extracted according to the time series, and the emotional changes during the drama therapy were restored. After the drama treatment, the mean scores of the three emotion expression indicators of the 10 drama treatment participating adults increased to more than 85, and the mood fluctuation scores of depression/anxiety decreased to less than 70, and the emotional health was improved.