Human Balance Strategies during Long-term Disturbance

Yuyao Liu, Ronglei Sun, Miao Zhang
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Abstract

The key for humans to maintain balance in complex environment is the ability to choose an appropriate balance strategy adaptively. To better understand the mechanism of balance recovery strategy selection, we aim to study the relation-ships between perturbation dependent response foot state and balance recovery strategy for velocity-controlled perturbations of different durations. Foot kinetic and kinematic data were measured simultaneously for distinguishing different state and strategy and find the thresholds under 10 compliant treadmill-controlled perturbations. Each condition was repeated for 10 times to find the relationships between heel-lifting frequency and stepping strategy. All experiment perturbation magnitudes were conducted randomly. The result shows that foot pressure distribution can easily identify heel-lifting foot state and step-ping strategy. The frequencies of HL of were always larger than SS frequencies and the boundary of HL is smaller than SS. Also, the rate of change for achieving heel lifting in ground re-action force distribution may indicate balance ability. This study reveals the influence of the change of human balance strategy on plantar pressure. In turn, that relationship can be used for human balance strategy identification, which could help control humanoid robot.
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长期干扰下的人类平衡策略
人类在复杂环境中保持平衡的关键是能够自适应地选择合适的平衡策略。为了更好地理解平衡恢复策略选择的机制,我们旨在研究不同持续时间的速度控制扰动下,扰动依赖响应足态与平衡恢复策略之间的关系。同时测量足部动力学和运动学数据,以区分不同的状态和策略,并找到10种柔性跑步机控制扰动下的阈值。每种情况重复10次,以找出提跟频率与步进策略之间的关系。所有实验扰动量级均随机进行。结果表明,足部压力分布可以很容易地识别抬跟足的状态和踏步策略。HL的频率总是大于SS的频率,并且HL的边界小于SS的频率。并且,地面反作用力分布实现脚跟提升的变化率可以反映出平衡能力。本研究揭示了人体平衡策略的变化对足底压力的影响。反过来,这种关系可以用于人体平衡策略的识别,从而帮助控制仿人机器人。
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