AHFE Open AccessGenerating Paintings Eliciting Specific Emotions Using Machine Learning for Application in Painting Therapy
Open Access
Article
Conference Proceedings
Authors: Keisuke Kisu, Kozawa Motohiro, Keiichi Watanuki
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
Cite this paper
Downloads
561
Visits
1800
More from this volume
← Design of 3D point cloud dataset of indoor spaces for feature extraction using Autoencoder with PointNetEstimation of Worker Stress Considering Differences in Listening Tempo →
- Evaluation of the Effect of the Candle Holder Pattern on Concentration and Mental Stress
- Factor of Discomfort During Jumping Extended in Virtual Space
- Design of 3D point cloud dataset of indoor spaces for feature extraction using Autoencoder with PointNet
- Estimation of Worker Stress Considering Differences in Listening Tempo
- Effects of Dual Tasking with Visual Display Terminal Work and Advertisement Presentation on Workers' Interest and Emotions
- Estimating Work Efficiency Using Biological Information During Computational Work with Cognitive Load
- Development of High-Precision Emotion Estimation Method using Speech Sound Information with Environmental Noise Reduction and Low Sampling Rate
- Feature Selection and Estimation of Route and Gait During Walking with Route and Speed Changes by Surface Electromyograph Using Transformer
- AI-Driven Music Generation and Emotion Conversion
- Intelligent Chair Product Design Based on Embodied Emotion Theory
- Analysis of the emotional design and application of educational parent-child interactive products
- Understanding Emotional Needs across Stroke Rehabilitation Phases for Affective Design