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相关实验视频

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Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb
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评估机器人步行者的性能:稳定性,响应性和用户运动检测的准确性.

Larisa Dunai1, Isabel Seguí Verdú1, Sui Liang1

  • 1Department Graphical Engineering, Universitat Politècnica de València, 46022 Valencia, Spain.

Sensors (Basel, Switzerland)
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概括

这项研究实验性地评估了一台机器人步行器,证实其能够检测个体步行模式,并适应辅助,以确保老年人和残疾人安全,独立移动.

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辅助技术是指辅助技术的使用.步态分析 步态分析惯性测量单位 (IMU) 是指惯性测量单位.主要组成部分分析 (PCA)机器人步行者是一个机器人.传感器 传感器 传感器飞行时间 (TOF) 传感器.

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科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 辅助技术 辅助技术 辅助技术
  • 人与机器人的交互

背景情况:

  • 人口日益老龄化和流动性障碍的流行需要先进的辅助技术.
  • 机器人步行者提供了一个潜在的解决方案,以增强安全和独立的移动,以改善流动性挑战的个人.

研究的目的:

  • 用实验来评估一个完全实现的机器人步行系统的性能.
  • 为了评估步行者的稳定性,响应性和在真实场景中检测用户移动的准确性.

主要方法:

  • 在直线和转路径上,在有或没有机动辅助的情况下,对五名用户进行了测试.
  • 使用主要组件分析 (PCA) 和t-SNE.分析了惯性测量单元 (IMU) 和飞行时间 (TOF) 传感器数据.
  • 通过车轮大厅传感器监控的电机控制和同步的用户/步行者惯性和TOF数据.

主要成果:

  • 机器人步行者成功地区分了测试用户之间的个人步行模式.
  • 系统性能分析揭示了与用户特定步态相关的适应性行为.
  • 评估了用户和步行者之间的空间对齐和运动相关性.

结论:

  • 机器人步行者通过适应个人用户需求,展示了个性化移动支持的潜力.
  • 实验评估为未来的系统优化提供了基础,以提高安全性和有效性.
  • 这些发现支持开发适应性机器人辅助,以改善独立生活.