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YourSkatingCoach: A Figure Skating Video Benchmark for Fine-Grained Element Analysis by Chen, Wei-Yi; Lin, Yi-Ling; Su, Yu-An; Yeh, Wei-Hsin; Ku, Lun-Wei is a scholarly article available to read on EtoBox.

What is YourSkatingCoach: A Figure Skating Video Benchmark for Fine-Grained Element Analysis about?

Combining sports and machine learning involves leveraging ML algorithms and techniques to extract insight from sports-related data such as player statistics, game footage, and other relevant information. However, datasets related to figure skating in the literature focus primarily on element classification and are currently unavailable or exhibit only limited access, which greatly raise the entry barrier to developing visual sports technology for it. Moreover, when using such data to help athletes improve their skills, we find they are very coarse-grained: they work for learning what an element is, but they are poorly suited to learning whether the element is good or bad. Here we propose air time detection, a novel motion analysis task, the goal of which is to accurately detect the duration of the air time of a jump. We present YourSkatingCoach, a large, novel figure skating dataset which contains 454 videos of jump elements, the detected skater skeletons in each video, along with the gold labels of the start and ending frames of each jump, together as a video benchmark for figure skating. In addition, although this type of task is often viewed as classification, we cast it as a se

Author

Chen, Wei-Yi; Lin, Yi-Ling; Su, Yu-An; Yeh, Wei-Hsin; Ku, Lun-Wei

Published

2024

Language

EN