SynthGait-19K: A Physically Grounded Synthetic Video Dataset for Gait Parameter Estimation

  • 类型：arxiv
  • 标识：2609.08108
  • 链接：https://arxiv.org/abs/2609.08108
  • 主分类：multimodal
  • 形态：method
  • TLDR：Accurate estimation of clinically meaningful gait parameters from monocular video is important for scalable mobility assessment, yet progress is limited by the small scale, restricted viewpoints, and limited visual diversity of existing datasets. We introduce SynthGait-19k, a physically grounded synthetic video dataset containing 19,272 walking videos derived from 6,427 MoCap sequences across 437 subjects, with paired SMPL motion and annotations for six gait parameters. To construct the dataset, we develop Gait2Vid, which unifies heterogeneous MoCap recordings through SMPL and synthesizes dive
  • 待LLM分类：否
  • 标题中文：SynthGait-19K：用于步态参数估计的物理约束合成视频数据集
  • TLDR中文：从单目视频中准确估计具有临床意义的步态参数对可扩展的移动能力评估至关重要，但现有数据集规模小、视角受限、视觉多样性不足，限制了该领域进展。我们提出 SynthGait-19k，一个物理约束的合成视频数据集，包含来自 437 名受试者、6,427 条 MoCap 序列的 19,272 段行走视频，配有 SMPL 运动数据与六项步态参数标注。为构建该数据集，我们开发了 Gait2Vid，通过 SMPL 统一异构 MoCap 记录并合成多样化的……
  • 来源文件：
  • /inbox/tom/_candidates/2026-09-09-agent-rag-longcontext-candidates.json