Validation of Markerless Motion Capture for Soldier Movement Patterns Assessment Under Varying Body-Borne Loads.

IF 3 2区 医学 Q3 ENGINEERING, BIOMEDICAL Annals of Biomedical Engineering Pub Date : 2024-10-07 DOI:10.1007/s10439-024-03622-w
Isabel Coll, Matthew P Mavor, Thomas Karakolis, Ryan B Graham, Allison L Clouthier
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Abstract

Field performance of modern soldiers is affected by an increase in body-borne load due to technological advancements related to their armour and equipment. In this project, the Theia3D markerless motion capture system was compared to the marker-based gold standard for capturing movement patterns of participants wearing various body-borne loads. The aim was to estimate lower body joint kinematics, gastrocnemius lateralis and medialis muscle activation patterns, and lower body joint reaction forces from the two motion capture systems. Data were collected on 16 participants performing three repetitions of walking and running under four body-borne load conditions by both motion capture systems simultaneously. A complete musculoskeletal analysis was completed in OpenSim. Strong correlations ( r > 0.8 ) and acceptable differences were observed between the kinematics of the marker-based and markerless systems. Timing of muscle activations of the gastrocnemius lateralis and medialis, as estimated through OpenSim from both systems, agreed with the ones measured using electromyography. Joint reaction force results showed a very strong correlation ( r > 0.9 ) between the systems; however, the markerless model estimated greater joint reaction forces when compared the marker-based model due to differences in muscle recruitment strategy. Overall, this research highlights the potential of markerless motion capture to track participants wearing body-borne loads.

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验证无标记运动捕捉技术,以评估不同体载负荷下士兵的运动模式。
由于装甲和装备方面的技术进步,现代士兵的实战表现受到身体承载负荷增加的影响。在本项目中,Theia3D 无标记运动捕捉系统与基于标记的黄金标准进行了比较,以捕捉佩戴各种身体承载负荷的参与者的运动模式。目的是估算两种运动捕捉系统的下半身关节运动学、腓肠肌外侧肌和内侧肌激活模式以及下半身关节反作用力。两个运动捕捉系统同时收集了 16 名参与者在四种身体承载负荷条件下重复三次行走和跑步的数据。在 OpenSim 中完成了完整的肌肉骨骼分析。基于标记和无标记系统的运动学之间存在很强的相关性(r > 0.8)和可接受的差异。通过 OpenSim 从两个系统估算出的腓肠肌外侧和内侧肌肉激活时间与肌电图测量的时间一致。关节反作用力结果显示,两个系统之间存在很强的相关性(r > 0.9);但是,与基于标记的模型相比,无标记模型估计的关节反作用力更大,这是因为肌肉募集策略不同。总之,这项研究强调了无标记运动捕捉在追踪承受身体负荷的参与者方面的潜力。
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来源期刊
Annals of Biomedical Engineering
Annals of Biomedical Engineering 工程技术-工程:生物医学
CiteScore
7.50
自引率
15.80%
发文量
212
审稿时长
3 months
期刊介绍: Annals of Biomedical Engineering is an official journal of the Biomedical Engineering Society, publishing original articles in the major fields of bioengineering and biomedical engineering. The Annals is an interdisciplinary and international journal with the aim to highlight integrated approaches to the solutions of biological and biomedical problems.
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