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<p>Gait assessment is fundamental for the evaluation of mobility. The 10-meter walk test is an established measure of gait speed, yet its simplicity in administration contrasts with the substantial wealth of biomechanical information that is unreported when it is conducted in a conventional manner. Integrating motion capture technology into the 10-meter walk test elevates gait assessment into a high-definition, granular analysis. This Data Descriptor presents the only large-scale, fast-gait 10-meter walk test dataset from Southeast Asia, comprising 100 healthy older adults (43 males and 57 females, aged 50–80 years). In addition, a five-year follow-up model of fall risk in these participants is reported. The dataset is deposited in DR-NTU (Nanyang Technological University Research Data Repository, powered by Dataverse) (<a href="https://doi.org/10.21979/N9/3Z2N2Z">https://doi.org/10.21979/N9/3Z2N2Z</a>) and represents a unique normative resource with high potential for reuse in both clinical and research contexts.</p>

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100 Normative Gait Profiles with 5-year fall tracking: Benchmark Dataset for Southeast Asian Movement Science

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年3月17日

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  • Oliver Roberts,
  • Pablo Cruz Gonzalez,
  • Arun-Kumar Kaliya-Perumal,
  • Tsung-Lin Wu,
  • Lek Syn Lim,
  • Xun Li,
  • Isaac Okumura Tan,
  • Ananda Sidarta,
  • Patrick Wai Hang Kwong,
  • Karen Sui Geok Chua,
  • Wei Tech Ang,
  • Bryan Yijia Tan

摘要

Gait assessment is fundamental for the evaluation of mobility. The 10-meter walk test is an established measure of gait speed, yet its simplicity in administration contrasts with the substantial wealth of biomechanical information that is unreported when it is conducted in a conventional manner. Integrating motion capture technology into the 10-meter walk test elevates gait assessment into a high-definition, granular analysis. This Data Descriptor presents the only large-scale, fast-gait 10-meter walk test dataset from Southeast Asia, comprising 100 healthy older adults (43 males and 57 females, aged 50–80 years). In addition, a five-year follow-up model of fall risk in these participants is reported. The dataset is deposited in DR-NTU (Nanyang Technological University Research Data Repository, powered by Dataverse) (https://doi.org/10.21979/N9/3Z2N2Z) and represents a unique normative resource with high potential for reuse in both clinical and research contexts.