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This chapter delves into the datasets pivotal to gait identification research, offering a comprehensive analysis of those frequently employed in the reviewed articles. The chapter’s focus is the CASIA-B dataset, prevalent in 51 out of 56 reviewed articles, highlighting its dominance. Other datasets such as OULP, OUMVLP, and TUM-GAID are also considered, each with unique attributes and applications. Through meticulous evaluation of these datasets, the chapter illuminates their respective performance metrics, facilitating nuanced comparisons across studies. By dissecting the datasets’ nuances and comparing the results from different research works, this chapter offers a panoramic view of the dataset landscape in gait identification research.

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Datasets

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  • 发表日期：

    2025年

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  • Diogo R. M. Bastos,
  • João Manuel R. S. Tavares

摘要

This chapter delves into the datasets pivotal to gait identification research, offering a comprehensive analysis of those frequently employed in the reviewed articles. The chapter’s focus is the CASIA-B dataset, prevalent in 51 out of 56 reviewed articles, highlighting its dominance. Other datasets such as OULP, OUMVLP, and TUM-GAID are also considered, each with unique attributes and applications. Through meticulous evaluation of these datasets, the chapter illuminates their respective performance metrics, facilitating nuanced comparisons across studies. By dissecting the datasets’ nuances and comparing the results from different research works, this chapter offers a panoramic view of the dataset landscape in gait identification research.