Sun Kai, Luo Yaping
School of Criminal Investigation, People's Public Security University of China, Beijing, China; Department of Forensic Science, Zhejiang Police College, Hangzhou, China.
People's Public Security University of China, Beijing, China.
Sci Justice. 2024 Sep;64(5):549-556. doi: 10.1016/j.scijus.2024.08.006. Epub 2024 Aug 13.
In some crime scenes, there may be bare footprints. Analyzing and testing the linear measurements of bare footprints in crime scenes can play an important role in personal analysis and individual identification. However, the linear measurements of bare footprints may be influenced by different motion states, leading to changes in length and width or even significant deviations. Previous studies focused on the linear differences between static and dynamic footprints, and failed to take the speed factor into consideration. This paper studied the stability and change regularities of the linear measurements of bare footprints in four different motion states: standing, normal walking, fast walking and trotting. Dust footprints of the right feet were collected from 80 healthy young adults under these four motion states. Seven linear measurements were obtained for each footprint using the Reel method, totaling 2240 data sets. One-way repeated measures ANOVA was used to assess the measurement variations across the four states. The results showed that there were statistically significant variances in the length measurements (A1-A5) between the standing state and other motion states, whereas no statistically significant variances were observed between the three dynamic states. It was found that the mean values of the five length measurements (A1-A5) increased from static to dynamic state, and then gradually decreased slightly as the walking speed increased. Additionally, no significant differences were found in the two width measurements (MPJ Width and Calc Width) between the four motion states. As a preliminary study, this study can provide a reference for the analysis of bare footprints in different motion states extracted from crime scenes.
在一些犯罪现场，可能会有赤足足迹。分析和测试犯罪现场赤足足迹的线性测量数据，对个人分析和个体识别具有重要作用。然而，赤足足迹的线性测量可能会受到不同运动状态的影响，导致长度和宽度发生变化，甚至出现显著偏差。以往的研究主要关注静态和动态足迹之间的线性差异，而未考虑速度因素。本文研究了站立、正常行走、快走和小跑这四种不同运动状态下赤足足迹线性测量的稳定性和变化规律。从80名健康年轻成年人中收集了这四种运动状态下右脚的灰尘足迹。使用卷轴法对每个足迹进行了七项线性测量，共获得2240个数据集。采用单因素重复测量方差分析来评估四种状态下的测量差异。结果表明，站立状态与其他运动状态之间在长度测量值（A1 - A5）上存在统计学显著差异，而三种动态状态之间未观察到统计学显著差异。研究发现，五项长度测量值（A1 - A5）的平均值从静态到动态状态逐渐增加，然后随着行走速度的增加略有下降。此外，四种运动状态下两项宽度测量值（MPJ宽度和跟骨宽度）之间未发现显著差异。作为一项初步研究，本研究可为分析从犯罪现场提取的不同运动状态下的赤足足迹提供参考。
