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动态指自身感知:使用新型机器人任务量化.

Luis Garcia-Fernandez1, Andria J Farrens1, Christopher A Johnson1

  • 1University of California Irvine, Irvine, CA 92617 USA.

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概括
此摘要是机器生成的。

动态指自身感知不如食指那么准确. 参与者适应视觉反,表示以身体为中心的参考框架来定位指运动.

关键词:
手的功能是手的功能.自己的感知适应.机器人评价机器人的评价传感器运动评估评估中风康复 中风康复 中风康复大指的亲感感觉.

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科学领域:

  • 神经科学是一个神经科学.
  • 人类运动控制人体运动控制
  • 生物力学 生物力学

背景情况:

  • 大指在手部功能中的关键作用是众所周知的.
  • 指的自身感知能力,特别是在动态运动中,还没有完全被理解.

研究的目的:

  • 量化动态指定位能力在没有损害的个人.
  • 研究用于指亲感的参考框架,并将其与食指进行比较.

主要方法:

  • 一个新的机器人任务测量了动态指定位精度.
  • 改变了指的速度,旋转直径,并引入了视觉干扰.
  • 将指和食指的本地化性能进行比较.

主要成果:

  • 大指定位误差平均为~25°,不受速度或直径的影响.
  • 对旋转扰动的适应表明了一个以身体为中心的参考框架.
  • 指定位错误明显大于食指 (p = 0.02).

结论:

  • 动态指定位的准确性不如食指那么高.
  • 大指利用视觉反和以身体为中心的框架来适应运动.
  • 大指和食指的自身感知能力是相关的,但却是不同的.