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A Study on the Correlation of Head and Face Data of Chinese Adults

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 955))

Abstract

Based on the data of the second national anthropometric survey conducted from 2014 to 2018, this study analyzed the correlations among 11 head and face measurement items, and the correlations between head and face measurement items and influencing factors. And the effective linear regression equations are established, which provided a technical reference for the optimization of human head and face measurement items. Head and face data were acquired according to the method defined in the Basic Project of Anthropometry for Technical Design (GB/T5703-1999). The research results can be directly applied to human head and face measurement, to update human head and face size data and reduce the difficulty of human body measurement field work.

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References

  1. GB 2428-81 Head Configurations: Chinese Adults. National standard (1981)

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  2. GB/T 2428-1998 Standard Head-face Dimensions of Adults. National standard (1988)

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  3. GB/T 5703-1999 Basic human body measurements for technological design. National standard (1999)

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  4. Liu, B., Guo, X., Ma, X.: Character of anthropometry usefulness for Chinese male pilot. J. Ergon. 8, 1–3 (2002)

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  5. Li, S.: CATIA body dimension correlation analysis. Sci. Technol. Guide 34, 448–449 (2013)

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Acknowledgments

This research is supported by “Special funds for the basic R&D undertakings by welfare research institutions” (522016Y-4680), National Key R&D Program of China (2017YFF0206602), National Science and Technology Basic Research (2013FY110200).

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Correspondence to Linghua Ran .

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Ran, L. et al. (2020). A Study on the Correlation of Head and Face Data of Chinese Adults. In: Rebelo, F., Soares, M. (eds) Advances in Ergonomics in Design. AHFE 2019. Advances in Intelligent Systems and Computing, vol 955. Springer, Cham. https://doi.org/10.1007/978-3-030-20227-9_30

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  • DOI: https://doi.org/10.1007/978-3-030-20227-9_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20226-2

  • Online ISBN: 978-3-030-20227-9

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