ラフ集合を用いたクラシックバレエの印象分析

抄録

In classical ballet, both technical skill and expressive ability are essential. Conveying emotions, stories, and other elements effectively and impressively to the audience holds significant importance. However, due to the artistic elements integrated with the technical movements, objective evaluation is challenging. This study investigates an objective evaluation method using affective engineering to address the vague and abstract expressions such as "beautiful" and "graceful" commonly used to evaluate the characteristics of body movements in classical ballet. While factors such as background, music, and costumes also significantly impact the overall impression, this study focuses on evaluating skeletal movements. Therefore, OpenPose was used to detect human joint points and generate the BODY_25 model for classical ballet movements. As a result of conducting a survey via Google Forms, responses were received from a total of 50 individuals. Then, rough set theory was applied to analyze the relationship between ballet body movements and impressions.