Knee Exoskeleton-Enabled Balance Control of Human Walking Gait With Unexpected Foot Slip

IF 4.6 2区 计算机科学 Q2 ROBOTICS
Chunchu Zhu;Jingang Yi
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Abstract

Foot slip is one of the leading causes of fall-related injuries during human walking. The underlying slip dynamics help understand bipedal recoverability under gait perturbation and therefore provide a tool to design proactive slip-induced fall prevention strategies. We present a new integrated wearable sensing and exoskeleton-enabled fall prevention under unexpected foot slip. The real-time slip detection is realized with a set of small, wearable inertial measurements units on both legs. We use the balance recoverability and inter-limb coordination analyses to design the balance recovery strategies. The bilateral knee exoskeleton provides assistive torque control and helps walker to follow the designed gait recovery strategies. Multiple subject experiments are presented to demonstrate the exoskeleton-enabled recovery under foot slip. Various critical metrics, including slip distance, velocity, swing leg touch-down time, are systematically compared to assess the efficacy of both the exoskeleton and the controller. The results confirm that incorporating knee exoskeletons as a balance recovery method for human walking is a reliable and robust approach to mitigate or prevent slip-induced falls.
膝关节外骨骼平衡控制人意外脚滑步态
在人类行走过程中,脚打滑是导致跌倒受伤的主要原因之一。潜在的滑移动力学有助于了解步态扰动下两足动物的可恢复性,从而为设计主动的滑移引起的跌倒预防策略提供了工具。我们提出了一种新的集成可穿戴传感和外骨骼,可在意外滑倒时防止跌倒。实时打滑检测是通过一组小型的、可穿戴的惯性测量装置在双腿上实现的。我们使用平衡可恢复性和肢体间协调分析来设计平衡恢复策略。双侧膝关节外骨骼提供辅助扭矩控制,帮助助行者遵循设计的步态恢复策略。介绍了多个受试者的实验,以证明外骨骼能够在足部打滑的情况下恢复。系统比较了各种关键指标,包括滑动距离、速度、摆动腿触地时间,以评估外骨骼和控制器的功效。研究结果证实,将膝关节外骨骼作为人类行走的平衡恢复方法是一种可靠而稳健的方法,可以减轻或防止滑倒。
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来源期刊
IEEE Robotics and Automation Letters
IEEE Robotics and Automation Letters Computer Science-Computer Science Applications
CiteScore
9.60
自引率
15.40%
发文量
1428
期刊介绍: The scope of this journal is to publish peer-reviewed articles that provide a timely and concise account of innovative research ideas and application results, reporting significant theoretical findings and application case studies in areas of robotics and automation.
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