The analysis of infrared high-speed motion capture system on motion aesthetics of aerobics athletes under biomechanics analysis.

ABSTRACT: This paper uses an infrared high-speed motion capture system based on deep learning to analyze difficult movements, which helps aerobics athletes master difficult movements more accurately. Firstly, changes in joint angle, speed of movement, and ground pressure are used to analyze the impact and role of motion fluency and completion based on a biomechanical perspective. Moreover, based on the existing infrared high-speed motion capture systems, the Restricted Boltzmann Machine (RBM) model is introduced to construct an unsupervised similarity framework model. Next, the motion data is reorganized based on three-dimensional information to adapt to the model's input. Then, the framework performs similar frame matching to obtain a set of candidate frames that can be used as motion graph nodes.

SUBMITTER: Qiu Y 

PROVIDER: S-EPMC10212154 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature