Generating Paintings Eliciting Specific Emotions Using Machine Learning for Application in Painting Therapy

Abstract: This study aims to label paintings based on biometric information and generate paintings that elicit specific emotions using machine learning. To create the dataset, we conduct experiments with eight participants using multi physiological measurement sensors. We focus on the arousal axis of emotion and use the skin conductance response as a measure of arousal. The results suggest that machine learning may be effective in generating paintings that elicit emotions because features related to arousal, such as brightness and color, can be appropriately learned.

Keywords: Pinting, Emotion, Machine Learing, GAN, Skin Conductance Response

DOI: 10.54941/ahfe1004673

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