| Summary: | 博士 === 國立清華大學 === 工業工程與工程管理學系 === 96 === This study is to measure hand surface area (HSA) and palm surface area (PSA) using 3-D scan, and establish the database and estimation formulae. The hand surface area is a very important reference in many applications. Nevertheless, the measurement methods of hand surface area were inaccuracy and the resultant data are significantly varied among different researches in the past. Thus there were wrong data and confused in practical application. Due to the advent of 3-D measurement technology, we intend to use the high resolution 3-D hand scanner to measure the hand of 270 samples, 135 for each gender. The samples will be proportionally drawn among 5 statures and 3 body weights based on population distribution. The precision and accuracy of the scanner is within 0.67%. We will apply the Anthro 3-D computing software to compute the two kind of hand surface area and the percentages of total body surface area to establish a hand surface area database. First, the results of HSA and PSA are tabulated on 15 strata for the male, the female and the Total (two genders combined). A comparison between this study and previous textbook values (such as the Lund and Browder chart and the UK teaching text) show that previous textbooks over estimated HSA 8.0 % and PSA 10.7% for the total. Gender, body weight group and stature group were significant factors. The mean %HSA/BSA and mean %PSA/BSA were found to be 2.29% (0.24%) and 0.89% (0.09%), respectively. Gender and body weight group were significant factors. Then 6 1-D measurements were extracted semi-automatically to be used as candidate estimators for HSA and PSA estimation formulae. Stepwise regressions on these 6 1-D measurements and variable dependency test were performed. The results show that with a pair of measurements -- hand length and hand breadth -- is able to account 96% of HSA variance and up to 98% of PSA variance. Finally, the accuracy of this study is better than previous studies.
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