Investigating human balance using a robotic motion platform
Thomas P. Huryn, Billy L. Luu, H. F. Machiel Van der Loos, J. Blouin, Elizabeth A. Croft
- 发表年份
- 2010
- 引用次数
- 14
摘要
We present the system design for a novel robotic balance simulator that enables the investigation of the balance mechanisms involved in natural human standing. Our system allows for complete control of task dynamics to mimic normal standing while avoiding the pitfalls associated with applying external perturbations. The system enables subjects to balance themselves according to a programmable physical model of an inverted pendulum. Subjects were able to balance the system, and results show that the load stiffness curves approximate those of normal human standing to within 20.1 ± 9.7% (S.D.). Differences were within the range expected from control loop delay, reduced ankle motion, and approximations inherent to the inverted pendulum model.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991