シカナイ　ナオ   SHIKANAI Nao   鹿内　菜穂    所属   健康スポーツ科学部 健康スポーツ科学科    職種   准教授
言語種別	英語
発行・発表の年月	2025/04
形態種別	学術雑誌
査読	査読あり
招待論文	招待あり
標題	A VR Learning Support System for Comparative Visualization of Japanese Traditional Dance Movements
執筆形態	共著
掲載誌名	Journal of Advanced Simulation in Science and Engineering
掲載区分	国外
巻・号・頁	12(1),pp.80-99
著者・共著者	Daiki Yokoyama, Liang Li, Satoshi Takatori, Kyoko Hasegawa, Nao Shikanai, Satoshi Tanaka
概要	Japanese traditional dance is a performing art with a rich and extensive history. Passed down orally and through demonstration over generations, its intricate movements are often challenging to convey accurately, resulting in subtle changes over time. To address this, efforts are being made to digitize and preserve these culturally significant practices through digital archiving. Furthermore, the number of traditional Japanese dance practitioners is declining yearly, leading to challenges in succession and education. This study employs two motion capture systems to create a digital archive of traditional Japanese dance and to visualize the movement differences between beginners and skilled practitioners. The ultimate goal is to develop a learning support system that aids in the education and training of future practitioners, ensuring the art form’s continuity.