Biomechanical Analysis of Concealed Pack Load Influences on Terrorist Gait Signatures Derived from Gröbner Basis Theory.

Journal of forensic biomechanics Pub Date : 2014-01-01 Epub Date: 2014-10-14
Sean S Kohles, Anum Barki, Kimberly D Kendricks, Ronald F Tuttle
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Abstract

This project examines kinematic gait parameters as forensic predictors of the influence associated with individuals carrying concealed weighted packs up to 20% of their body weight. An initial inverse dynamics approach combined with computational algebra provided lower limb joint angles during the stance phase of gait as measured from 12 human subjects during normal walking. The following paper describes the additional biomechanical analysis of the joint angle data to produce kinetic and kinematic parameters further characterizing human motion. Results include the rotational velocities and accelerations of the hip, knee, and ankle as well as inertial moments and kinetic energies produced at these joints. The reported findings indicate a non-statistically significant influence of concealed pack load, body mass index, and gender on joint kinetics (p>0.05). Ratios of loaded to unloaded kinematics, however, identified some statistical influence on gait (p<0.05). On-going studies are examining an additional subject cohort with greater pack loads in an effort to identify alterations in gait signatures as a counter-terrorism approach.

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根据格劳宾纳基础理论得出的隐性负载对恐怖分子步态特征影响的生物力学分析。
该项目研究了运动步态参数,以此作为法医预测与个人隐蔽携带重量达其体重 20% 的负重背包相关的影响因素。最初的反动力学方法与计算代数相结合,提供了 12 名受试者正常行走时步态阶段的下肢关节角度。以下论文介绍了对关节角度数据进行的附加生物力学分析,以生成进一步描述人体运动特征的动力学和运动学参数。分析结果包括髋关节、膝关节和踝关节的旋转速度和加速度,以及这些关节产生的惯性力矩和动能。报告结果表明,隐蔽背包负荷、体重指数和性别对关节动力学的影响无统计学意义(P>0.05)。然而,加载和非加载运动学比率对步态有一定的统计学影响(p
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