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Domains of attraction of walking and running attractors are context dependent: illustration for locomotion on tilted floors

机译:步行和跑步吸引子的吸引域取决于上下文:倾斜地板上的运动说明

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There is a general consensus that gaits of humans and animals can be considered as spatio-temporal patterns emerging via self-organization. In line with synergetics, a theory of pattern formation and self-organization founded by Haken, an amplitude equation model for human run-walk gait transitions is presented. The model allows for a definition of two distinct attractors representing walking and running. In particular, the size of the two attractors in the space of locomotion speed can be determined as a function of the model parameters. Furthermore, the model parameters can be estimated based on data from walking experiments on treadmills. The approach is illustrated for data reported in the literature on walking experiments involving tilted floors. It is shown that attractor size depends on the floor inclination, which suggests that in general the domains of attraction of walking and running attractors are context dependent. In particular, they depend on floor inclination. In other words, a pattern formation model is presented that describes how sensory feedback about environmental conditions may impact gait control.
机译:人们普遍认为,人和动物的步态可被视为通过自我组织而出现的时空模式。根据协同作用,由Haken建立了一种模式形成和自组织理论,提出了一种用于人类步态-步态步态转换的振幅方程模型。该模型允许定义两个代表行走和奔跑的吸引子。特别地,可以根据模型参数确定在运动速度空间中的两个吸引子的大小。此外,可以基于来自跑步机上的步行实验的数据来估计模型参数。文献中报道了有关涉及倾斜地板的步行实验的数据,对此方法进行了说明。结果表明,吸引子的大小取决于地板的倾斜度,这表明一般而言,步行和奔跑的吸引子的吸引力范围取决于环境。特别是,它们取决于地板的倾斜度。换句话说,提出了一种模式形成模型,该模型描述了有关环境条件的感官反馈如何影响步态控制。

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