MAAIG: Motion Analysis And Instruction Generation

November 02, 2023 Β· Declared Dead Β· πŸ› ACM Multimedia Asia

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Authors Wei-Hsin Yeh, Pei Hsin Lin, Yu-An Su, Wen Hsiang Cheng, Lun-Wei Ku arXiv ID 2311.00980 Category cs.CV: Computer Vision Citations 1 Venue ACM Multimedia Asia Last Checked 3 months ago
Abstract
Many people engage in self-directed sports training at home but lack the real-time guidance of professional coaches, making them susceptible to injuries or the development of incorrect habits. In this paper, we propose a novel application framework called MAAIG(Motion Analysis And Instruction Generation). It can generate embedding vectors for each frame based on user-provided sports action videos. These embedding vectors are associated with the 3D skeleton of each frame and are further input into a pretrained T5 model. Ultimately, our model utilizes this information to generate specific sports instructions. It has the capability to identify potential issues and provide real-time guidance in a manner akin to professional coaches, helping users improve their sports skills and avoid injuries.
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