Accurate 3D human pose estimation is essential for sports analytics, coaching, and injury prevention. However, existing datasets for monocular pose estimation do not adequately capture the challenging and dynamic nature of sports movements. In response, we introduce SportsPose, a large-scale 3D human pose dataset consisting of highly dynamic sports movements. With more than 176,000 3D poses from 24 different subjects performing 5 different sports activities, SportsPose provides a diverse and comprehensive set of 3D poses that reflect the complex and dynamic nature of sports movements. Contrary to other markerless datasets we have quantitatively evaluated the precision of SportsPose by comparing our poses with a commercial marker-based system and achieve a mean error of 34.5 mm across all evaluation sequences. This is comparable to the error reported on the commonly used 3DPW dataset. We further introduce a new metric, local movement, which describes the movement of the wrist and ankle joints in relation to the body. With this, we show that SportsPose contains more movement than the Human3.6M and 3DPW datasets in these extremum joints, indicating that our movements are more dynamic. The dataset with accompanying code can be downloaded from our website. We hope that SportsPose will allow researchers and practitioners to develop and evaluate more effective models for the analysis of sports performance and injury prevention. With its realistic and diverse dataset, SportsPose provides a valuable resource for advancing the state-of-the-art in pose estimation in sports.

翻译：精确的3D人体姿态估计对于体育分析、教练指导和损伤预防至关重要。然而，现有的单目姿态估计数据集未能充分捕捉体育运动中具有挑战性的动态特征。为此，我们提出了SportsPose，这是一个包含高度动态体育动作的大规模3D人体姿态数据集。该数据集涵盖24名不同受试者执行的5种不同体育活动，包含超过176,000个3D姿态，能够反映体育动作的复杂性与动态特性。与其它无标记数据集不同，我们通过与商用标记系统对比，定量评估了SportsPose的精度，在所有评估序列上实现了34.5毫米的平均误差，这与常用3DPW数据集报告的误差水平相当。我们进一步引入了一个新指标——局部运动，该指标描述手腕和踝关节相对于身体的运动。通过这一指标，我们证实SportsPose在这些末端关节上比Human3.6M和3DPW数据集包含更多运动，表明我们的动作更具动态性。该数据集及配套代码可从我们的网站下载。我们期望SportsPose能够帮助研究人员和实践者开发并评估更有效的模型，用于分析运动表现与预防损伤。凭借其真实且多样化的数据集，SportsPose为提升体育领域姿态估计技术水平提供了宝贵资源。