Development of a viewing support system that adds symbol information to daily exercise videos

2022 Fiscal Year Final Research Report

• Project/Area Number: 19K12270
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 62030:Learning support system-related
• Research Institution: Kagawa University
• Principal Investigator: Gotoda Naka 香川大学, 創造工学部, 准教授 (40633095)
• Co-Investigator(Kenkyū-buntansha): 赤木 亮太 芝浦工業大学, システム理工学部, 教授 (20581458) ; 小林 雄志 東京大学, 大学総合教育研究センター, 助教 (50549491)
• Project Period (FY): 2019-04-01 – 2023-03-31
• Keywords: 教育工学 / 運動学習 / 身体制御 / トレーニング支援 / フィードバック手法

Outline of Final Research Achievements

We developed a feedback methodology for making stored video into teaching materials and providing tips to promote comprehension in physical learning for the movements of skills including sports. Also, we developed the coding method that indicates the difference between the target motion and the current state. As the coding, we developed an intuitive transmission method that teaches less information for learning body movements and is easy to convey by adopting superimposition representation by skeleton estimation technology for specific parts of the body on the video. By clarifying the characteristic motion components of several points of the movement to be learned according to the skill level through the experiments, and converting the specific components of the corresponding parts as visual information, feedback that adds the coding can be obtained.

Free Research Field

教育工学

Academic Significance and Societal Importance of the Research Achievements

日常的な健康改善活動を含む体育・スポーツにおける動作習得には、コツとなる“ヒント”の提供が日々欠かせない。日々撮影記録されるトレーニング動画やセンサ等の大量のデータに対し、それらを教材として再活用するため、訓練ポイントを示す情報を受容しやすい形で人手があまりかからない形で動的に生成できれば、情報蓄積と教材化の循環促進が可能となる。