Hand Surface Area Estimation Formula Using 3D Anthropometry

• Published in: Journal of occupational and environmental hygiene Vol. 7; no. 11; pp. 633 - 639
• Main Authors: Hsu, Yao-Wen, Yu, Chi-Yuang
• Format: Journal Article
• Language: English
• Published: England Taylor & Francis Group 01.11.2010; Taylor & Francis LLC
• Subjects: 3D anthropometry; Adolescent; Adult; Anthropometry - instrumentation; Anthropometry - methods; Body Surface Area; Comparative analysis; Female; Females; Hand; hand measurement; hand surface area; Hands; Humans; Hygiene; Imaging, Three-Dimensional - instrumentation; Imaging, Three-Dimensional - methods; Male; Males; Mathematical Computing; Measurement techniques; Middle Aged; Occupational; Occupational safety; Regression Analysis; Scanners; Studies; Surface area; Textbooks; Three dimensional; Three dimensional imaging; Young Adult; Sweden, Malmoehus, Lund
• ISSN: 1545-9624; 1545-9632; 1545-9632
• DOI: 10.1080/15459624.2010.514259

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.