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使用 3D 人体测量学估算手表面积的公式。

Hand surface area estimation formula using 3D anthropometry.

机构信息

Department of Industrial Engineering and Management, Ta-Hwa Institute of Technology, 1 Ta-Hwa Road, Chung-Lin, Hsinchu, Taiwan.

出版信息

J Occup Environ Hyg. 2010 Nov;7(11):633-9. doi: 10.1080/15459624.2010.514259.

DOI:10.1080/15459624.2010.514259
PMID:20865628
Abstract

Hand surface area is an important reference in occupational hygiene and many other applications. This study derives a formula for the palm surface area (PSA) and hand surface area (HSA) based on three-dimensional (3D) scan data. Two-hundred and seventy subjects, 135 males and 135 females, were recruited for this study. The hand was measured using a high-resolution 3D hand scanner. Precision and accuracy of the scanner is within 0.67%. Both the PSA and HSA were computed using the triangular mesh summation method. A comparison between this study and previous textbook values (such as in the U.K. teaching text and Lund and Browder chart discussed in the article) was performed first to show that previous textbooks overestimated the PSA by 12.0% and HSA by 8.7% (for the male, PSA 8.5% and HSA 4.7%, and for the female, PSA 16.2% and HSA 13.4%). Six 1D measurements were then extracted semiautomatically for use as candidate estimators for the PSA and HSA estimation formula. Stepwise regressions on these six 1D measurements and variable dependency test were performed. Results show that a pair of measurements (hand length and hand breadth) were able to account for 96% of the HSA variance and up to 98% of the PSA variance. A test of the gender-specific formula indicated that gender is not a significant factor in either the PSA or HSA estimation.

摘要

手掌表面积是职业卫生学和许多其他应用领域的重要参考指标。本研究基于三维(3D)扫描数据推导出手掌表面积(PSA)和手表面积(HSA)的计算公式。本研究共招募了 270 名受试者,其中男性 135 名,女性 135 名。使用高分辨率 3D 手部扫描仪对手部进行测量。扫描仪的精度和准确性在 0.67%以内。使用三角形网格求和法计算 PSA 和 HSA。首先将本研究与之前的教科书值(如英国教学文本和本文讨论的 Lund 和 Browder 图表)进行比较,结果表明之前的教科书高估了 PSA 12.0%,高估了 HSA 8.7%(男性 PSA 高估 8.5%,HSA 高估 4.7%,女性 PSA 高估 16.2%,HSA 高估 13.4%)。然后,半自动提取了 6 个 1D 测量值,用作 PSA 和 HSA 估算公式的候选估算值。对这 6 个 1D 测量值进行逐步回归和变量相关性检验。结果表明,一对测量值(手长和手宽)能够解释 HSA 方差的 96%,PSA 方差的 98%。对性别特异性公式的检验表明,性别不是 PSA 或 HSA 估算中的重要因素。

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