一个关于人类从坐到走的转变的运动捕捉数据集
Chamalka Kenneth Perera1, Zakia Hussain1, Min Khant1
1Monash Engineering & Technology Research Hub, School of Engineering, Monash University, Subang Jaya, Selangor, Malaysia.
Scientific data
|August 13, 2024
概括
这项研究介绍了来自65名健康成年人的综合性坐着走路数据集,来自三个年龄组. 这些数据为研究生物力学和开发辅助技术提供了基准.
科学领域:
- 生物力学 生物力学
- 人类运动分析 人类运动分析
- 老年学是一门学科.
背景情况:
- 坐到走 (STW) 对于日常生活至关重要,但现有的数据集有限.
- 了解STW中与年龄相关的变化对于流动性和独立性至关重要.
- 为了建立可靠的基准,需要一个更大的多模式数据集.
研究的目的:
- 为了呈现一个新的,全面的数据集的坐着走路 (STW) 生物力学.
- 为了捕捉详细的下肢运动,肌肉活动和功能结果.
- 为了使STW在不同年龄组的横截面分析.
主要方法:
- 收集了来自年轻,中年和老年年龄组的65名健康成年人的数据.
- 使用了运动捕捉,地面反应力,EMG和IMU传感器.
- 进行了膝盖损伤和骨关节炎结局得分 (KOOS) 调查.
主要成果:
- 在下半身关节角度方面实现了良好的测试-重试可靠性 (ICC > 0.74).
- STW 关节角轨迹和最大自发收缩与现有文献一致.
- 建立了一个与当前研究标准可比的数据集.
结论:
- 这一数据集为研究与年龄相关的STW生物力学提供了宝贵的资源.
- 它作为评估神经肌肉骨损伤的基准.
- 促进了对康复的辅助技术的设计和开发.
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