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相关实验视频

Updated: Jun 21, 2026

Substantiating Appropriate Motion Capture Techniques for the Assessment of Nordic Walking Gait and Posture in Older Adults

Substantiating Appropriate Motion Capture Techniques for the Assessment of Nordic Walking Gait and Posture in Older Adults

Published on: May 12, 2016

对比稀疏的惯性传感器设置,用于斜面平面行走和跑步重建.

Eva Dorschky¹, Marlies Nitschke¹, Matthias Mayer¹

¹Machine Learning and Data Analytics Lab, Department Artificial Intelligence in Biomedical Engineering (AIBE), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.

Frontiers in bioengineering and biotechnology

|March 6, 2025

概括

稀少的惯性传感器设置可以准确地估计临床和体育分析的运动变量. 即使有较少的传感器,精度也可以与全身下部设置相竞争,提高实验室外的可用性.

关键词:

步态分析步态分析步态模拟的步态模拟惯性测量单位是惯性测量单位.最好的控制和控制是最优的.轨道优化轨道优化

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Evaluation of Patients' Posture and Gait Profile After Lumbar Fusion Surgery by Video Rasterstereography and Treadmill Gait Analysis

Published on: March 23, 2019

Home-Based Monitor for Gait and Activity Analysis

Home-Based Monitor for Gait and Activity Analysis

Published on: August 8, 2019

相关实验视频

Last Updated: Jun 21, 2026

Substantiating Appropriate Motion Capture Techniques for the Assessment of Nordic Walking Gait and Posture in Older Adults

Substantiating Appropriate Motion Capture Techniques for the Assessment of Nordic Walking Gait and Posture in Older Adults

Published on: May 12, 2016

Evaluation of Patients' Posture and Gait Profile After Lumbar Fusion Surgery by Video Rasterstereography and Treadmill Gait Analysis

Published on: March 23, 2019

Home-Based Monitor for Gait and Activity Analysis

Home-Based Monitor for Gait and Activity Analysis

Published on: August 8, 2019

科学领域:

生物力学生物力学
人类运动分析人类运动分析
可穿戴式传感器技术

背景情况:

对于临床和体育应用来说,精确估计时空,运动和动力运动变量至关重要.
与全身运动捕捉系统相比,稀少的惯性传感器设置提供了一种不那么侵入性的方法.
调查稀疏传感器设置的准确性对于其实际实施至关重要.

研究的目的:

为了确定运动变量是否可以从稀疏的惯性传感器设置中精确地估计,而不是从全身下部设置中估计.
评估传感器位置和数量对估计准确性的影响.
评估使用稀疏传感器设置在实验室外进行全面运动分析的可行性.

主要方法:

运用了平面下体肌肉骨模型的最佳控制问题.
最小化了联合目标功能,跟踪惯性传感器数据和肌肉努力.
模拟数据为10名参与者跨越步行和跑步速度使用七种不同的传感器配置 (2-7个传感器).

主要成果:

在所有测试的传感器设置中,惯性传感器估计和光学运动捕捉数据之间的差异很小.
缺乏骨盆传感器的设置导致了不准确的时空变量,原因是干部过度倾斜.
连接角度的根平均平方偏差 (RMSDs) 从4.8到18度不等,稀疏的设置显示的错误与完整的设置相似或略高.

结论:

通过稀疏的惯性传感器设置,可以实现全面的斜面平面运动分析,与全传感器配置的精度相匹配.
稀疏的设置,特别是那些包括脚和骨盆或大腿上的传感器的设置,提高了用于实验室外运动分析的可用性.
这些发现支持使用减少的惯性传感器配置来进行实际的,现实世界的生物力学评估.