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陀螺仪传感器数据显示了正常行走和赤脚行走期间的腿部运动
Mikko Salminen1, Saku Suominen2, Akihiro Inomata3
1Faculty of Medicine and Health Technology, Tampere University, Finland, Korkeakoulunkatu 3, 33720 Tampere, Finland.
Data in brief
|December 26, 2023
概括
腿部角速度 (SAV) 分析揭示了健康成年人正常和赤脚行走之间的步态模式的差异. 这项研究为了解步态动力学和改进运动分析协议提供了有价值的数据.
科学领域:
- 生物力学 生物力学
- 人类运动分析分析
- 步态科学 步态科学
背景情况:
- 树角速度 (SAV) 越来越多地用于精确的时间步态分析.
- 了解不同行走条件的SAV变化对于运动模式评估至关重要.
研究的目的:
- 在正常和赤脚行走期间调查健康成年人的SAV.
- 评估SAV区分行走条件的能力.
- 为分析步态动力学和鞋类影响提供数据集.
主要方法:
- 使用陀螺仪传感器收集的三维SAV数据,用于58名健康成年人 (19-75岁) 的腿部.
- 试验对象用自然速度三次步行10米的距离,无论是穿鞋还是赤脚.
- 陀螺仪被放置在每个树的侧面上方,位于侧面骨的上方.
主要成果:
- 该数据集捕捉了正常和赤脚步行条件之间的SAV变化.
- 它提供了关于身高和体重等因素如何影响步态动力学的见解.
- 这些数据突出了带鞋或不带鞋行走时的步态模式的差异.
结论:
- SAV是一种可行的指标,用于区分健康成年人的步态变化.
- 收集的数据集支持进一步研究基于IMU的步态分析.
- 这项研究有助于完善基于IMU的广泛部运动数据集的协议.
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