直立双足行走机器人模型的三维运动分析。

IF 1.4 3区 医学 Q4 ENGINEERING, BIOMEDICAL
Clinical Biomechanics Pub Date : 2025-10-01 Epub Date: 2025-07-28 DOI:10.1016/j.clinbiomech.2025.106620
Kouji Sanaka, Yusuke Sekiguchi, Daisuke Kurosawa, Seiichi Sugimura, Ko Hashimoto, Kohei Takahashi, Satoru Ebihara, Eiichi Murakami, Toshimi Aizawa
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引用次数: 0

摘要

背景:我们之前开发了一个由躯干运动通过腰肌大收缩驱动的两足机器人模型。通过解决膝关节和足踝关节不稳定问题,建立了机械稳定原理模型,以保持步态力学,实现自主双足行走和可靠的压力中心测量。本研究利用三维步态分析系统研究了躯干驱动模型产生的压力轨迹中心是否接近人类。方法:健康受试者35个标记物,原理模型24个标记物。在1200 Hz下采集地面反作用力数据,并使用运动分析和数值软件进行分析。比较原理模型与健康受试者站立阶段右脚压力轨迹中心。结果:在双肢站立和单肢支撑阶段,压力中心轨迹大致相似。在单肢支撑阶段,压力中心在与行走进度相反的方向上出现了反向偏移,特别是在47.5%和61.5%之间。轨迹没有向前足延伸,可能是由于步幅较短,行走速度较慢,单肢支撑时间较长(0.91±0.05 s vs.健康受试者0.41±0.05 s)。解释:传统的步态分析假设下肢活动后躯干被动运动。相比之下,主体模型表现为躯干驱动运动,腿部被动摆动,部分复制了人体压力中心轨迹。这表明躯干驱动的方法可能为步态分析提供见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Three-dimensional motion analysis of upright bipedal walking android model.

Background: We previously developed a bipedal android model driven by trunk motion via psoas major contractions. A mechanically stabilized principle model was created to preserve gait mechanics, enabling autonomous bipedal walking and reliable center of pressure measurement by addressing knee and foot-ankle joint instability. This study investigated whether the center of pressure trajectory generated by the trunk-driven model approximates that of humans using a three-dimensional gait analysis system.

Methods: Thirty-five markers were attached to healthy subjects versus 24 markers to the principle model. Ground reaction force data were captured at 1200 Hz and analyzed using motion analysis and numerical software. The center of pressure trajectory of the right foot during the stance phase was compared between the principle model and healthy subjects.

Findings: Center of pressure trajectories were generally similar during the double-limb stance and single-limb support phases. The principle model showed differences such as a backward deviation of the center of pressure in the direction opposite to walking progression during the single-limb support phase, especially between 47.5 % and 61.5 % of the phase. The trajectory did not extend toward the forefoot, likely due to the shorter stride length, slower walking speed, and prolonged single-limb support duration (0.91 ± 0.05 s vs. 0.41 ± 0.05 s in healthy subjects).

Interpretation: Conventional gait analysis assumes passive trunk motion following lower-limb activity. In contrast, the principle model demonstrates trunk-driven motion with passive leg swing, partially replicating human center of pressure trajectories. This suggests a trunk-driven approach may offer insights for gait analysis.

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来源期刊
Clinical Biomechanics
Clinical Biomechanics 医学-工程:生物医学
CiteScore
3.30
自引率
5.60%
发文量
189
审稿时长
12.3 weeks
期刊介绍: Clinical Biomechanics is an international multidisciplinary journal of biomechanics with a focus on medical and clinical applications of new knowledge in the field. The science of biomechanics helps explain the causes of cell, tissue, organ and body system disorders, and supports clinicians in the diagnosis, prognosis and evaluation of treatment methods and technologies. Clinical Biomechanics aims to strengthen the links between laboratory and clinic by publishing cutting-edge biomechanics research which helps to explain the causes of injury and disease, and which provides evidence contributing to improved clinical management. A rigorous peer review system is employed and every attempt is made to process and publish top-quality papers promptly. Clinical Biomechanics explores all facets of body system, organ, tissue and cell biomechanics, with an emphasis on medical and clinical applications of the basic science aspects. The role of basic science is therefore recognized in a medical or clinical context. The readership of the journal closely reflects its multi-disciplinary contents, being a balance of scientists, engineers and clinicians. The contents are in the form of research papers, brief reports, review papers and correspondence, whilst special interest issues and supplements are published from time to time. Disciplines covered include biomechanics and mechanobiology at all scales, bioengineering and use of tissue engineering and biomaterials for clinical applications, biophysics, as well as biomechanical aspects of medical robotics, ergonomics, physical and occupational therapeutics and rehabilitation.
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