基于赤足足迹稳定点推算身高的新方法

A New Method to Calculate Stature from the Stable Points of Barefoot Print

目的探索一种利用赤足迹测量值推算身高的新方法。方法利用数码分规,对200份赤足足迹捺印扫描样本上由赤足迹四个特征稳定点组成的几何图形进行测量,确定相关图形边长与身高之间的相关性,并利用SPSS软件进行多元线性回归得出推算公式,比较新方法与传统方法之间的优劣。结果本研究建立的利用赤足迹稳定点推算身高的新方法,为残缺赤足迹分析身高提供了新思路,较之传统公式"身高=赤足迹长×7"误差明显减小,推算身高更精准。结论基于赤足迹四个特征稳定点多元回归分析身高是一种可靠、准确的新方法。

Objective To explore a new method on calculating stature by measuring barefoot print. Methods 200 scanned barefoot print samples were selected of their respective four stable feature points by which a geometrical figure was engendered and measured of each side’s length with a digital ruler. The correlation was therefore analyzed between the side lengths and stature so that a multiple regression formula was set up by SPSS software, having calculated the involving statures. The comparison was made on the advantages and disadvantages between the new attempt and traditional method. Results The new formula is of smaller error and more accurate to calculate stature than the traditional one of “stature = length of barefoot print × 7”. Conclusion Multivariate regressive analysis, based on four stable points of barefoot print, is a reliable and accurate choice to calculate stature.