Research on volleyball action standardization based on 3D dynamic model

• Main Authors: Guiqing Zhang, Lin Zhong
• Format: Article
• Language: English
• Published: Elsevier 2021-08-01
• Series: Alexandria Engineering Journal
• Subjects: 3D dynamic model; Optical motion capture; 3D scanning; Human skeleton model; Volleyball; Error action recognition
• Online Access: http://www.sciencedirect.com/science/article/pii/S1110016821001241

We propose a volleyball action standardization method based on 3D dynamic model. Firstly, optical motion capture technology and 3D scanning technology are used to collect the volleyball motion images. Then, the human skeleton model and the appearance model are constructed. Finally, the distance between each joint of the volleyball player's posture and the standard posture is calculated. The results show that the wrong actions made by the players can be accurately recognized by the proposed method. This study also gives some standardized suggestions and may improve players' action learning and training.