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首页> 外文期刊>Journal of robotics and mechatronics >Kinematic description of self-organized leg motion transition in human locomotion learning
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Kinematic description of self-organized leg motion transition in human locomotion learning

机译:运动学习中自组织腿部运动过渡的运动学描述

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摘要

Leg motion learning while walking backward with eyes closed on a treadmill was studied to gain information on self-organization in locomotion learning. Eight adults walked on a treadmill at a belt speed of 50 m/min for five minutes, four times.The angles of the hip, knee, and ankle joints were calculated to describe lower limb motion transition with learning progress. The attractor of a dynamical system creating joint flexion and extension was reconstructed from time-series joint angle data bythe method of Takens (1981). Main findings were that: 1) the joint motion transition pattern with learning progress differs for the three leg joints; 2) with learning progress, ankle joint motion converged from complex to a certain clear pattern and, as a result, the chaotic property of the joint became weak; and 3) with learning motion, the fractal dimension of the attractor for knee joint motion exceeded those for the ankle and hip joints.
机译:研究了在跑步机上闭着眼睛向后走时的腿部动作学习,以获取有关运动学习中自我组织的信息。八名成年人以50 m / min的皮带速度在跑步机上行走五分钟,四次,计算髋,膝和踝关节的角度以描述下肢运动随学习进度的变化。利用Takens(1981)的方法从时序关节角度数据中重建了产生关节屈伸的动力学系统的吸引子。主要发现是:1)三个腿关节的关节运动过渡模式随学习进度的不同而不同。 2)随着学习的进展,踝关节运动从复杂状态收敛到一定的清晰模式,结果关节的混沌特性变弱; 3)随着学习运动,吸引子的分形维数超过了膝关节和髋关节的分形维数。

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