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3D scan-based classification of Chinese young female hand morphology
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  • Open access
  • Published: 14 March 2026

3D scan-based classification of Chinese young female hand morphology

  • Yanru Zhai1,
  • Yongjie Bian1,
  • Yue Shen1,
  • Xuefeng Yan1 &
  • …
  • Xiaoyan Li1 

Scientific Reports , Article number:  (2026) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Anatomy
  • Health care
  • Health occupations
  • Medical research

Abstract

To investigate the changes in hand morphology among young females, researchers employed 3D hand scanning to perform anthropometric measurement of 111 Chinese young women (20–26 years), enabling hand morphology classification for ergonomic applications. A total of 32 hand parts were measured and analyzed based on these models. The findings reveal that variables describing hand morphology are predominantly categorized into four types: finger width, finger circumference, finger length, and hand length. The typical indicators reflecting hand morphological characteristics include hand length, middle finger width, proximal circumference of the index finger, and ring finger length. Results revealed five distinct hand types: short/thin, short/wide, standard, long/thin, and long/wide. Compared to current national standards in China (GB/T 16252 − 1996), modern hand morphology showed significant increases in hand length (+ 3.3%) and metacarpal breadth (+ 8.3%). We propose a novel sizing system (5-size-5-fit) with 180/86 as the predominant type, optimized for ergonomic glove design. This study provides critical data references for the industrial design of hand appliances, while also offering potential implications for ergonomics and hand injury prevention.

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Data availability

Data is provided within the manuscript or supplementary information files.

Abbreviations

S–W test:

Shapiro–Wilk test

K–S test:

Kolmogorov–Smirnov test

Q–Q plots:

Quantile–Quantile plots

DF:

Degree of freedom

ANOVA:

Analysis of variance

MANOVA:

Multivariate analyses

MSB:

Mean squared between

MSE:

Mean squared error

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Acknowledgements

The authors extend sincere gratitude to all participants who dedicated their time and provided voluntary cooperation for the scanning procedures in this study.

Funding

This research was financially supported by the following funding agencies: The Major Projects of the Natural Science Foundation of Jiangsu Province (Grant Nos. 20KJA540001, 22KJA540001). The Emergency Management Science and Technology Project of Jiangsu Province (Grant No. YJGL-YF-2020-5). The Nantong Science and Technology Projects (Grant Nos. JB2022004, MS22021003). The Nantong Basic Science Research Project (Grant No. JC2021041).

Author information

Authors and Affiliations

  1. School of Textile and Clothing, Nantong University, Nantong, 226019, China

    Yanru Zhai, Yongjie Bian, Yue Shen, Xuefeng Yan & Xiaoyan Li

Authors
  1. Yanru Zhai
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  2. Yongjie Bian
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  3. Yue Shen
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  4. Xuefeng Yan
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  5. Xiaoyan Li
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Contributions

Yanru Zhai: Conceptualization, Methodology, Formal analysis, Writing-original draft.Yongjie Bian: Data collection, Visualization, Writing-original draft.Yue Shen: Validation, Writing-review & editing.Xuefeng Yan: Methodology, Resources provision, Funding acquisition.Xiaoyan Li: Writing–review & editing, Supervision.

Corresponding authors

Correspondence to Yue Shen or Xiaoyan Li.

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The authors declare no competing interests.

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Cite this article

Zhai, Y., Bian, Y., Shen, Y. et al. 3D scan-based classification of Chinese young female hand morphology. Sci Rep (2026). https://doi.org/10.1038/s41598-026-43547-z

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  • Received: 31 July 2025

  • Accepted: 05 March 2026

  • Published: 14 March 2026

  • DOI: https://doi.org/10.1038/s41598-026-43547-z

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Keywords

  • 3D hand scanning
  • Hand morphology classification
  • Chinese young women
  • Anthropometric measurement
  • Ergonomic glove design
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