[Retracted] Design and development of the sEMG-based exoskeleton strength enhancer for the legs

Mikecon Cenit, Vaibhav Gandhi
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引用次数: 1

Abstract

This paper reviews the different exoskeleton designs and presents a working prototype of a surface electromyography (EMG) controlled exoskeleton to enhance the strength of the lower leg. The Computer Aided Design (CAD) model of the exoskeleton is designed, 3D printed with respect to the golden ratio of human anthropometry, and tested structurally. The exoskeleton control system is designed on the LabVIEW National Instrument platform and embedded in myRIO. Surface EMG sensors (sEMG) and flex sensors are used coherently to create different state filters for the EMG, human body posture and control for the mechanical exoskeleton actuation. The myRIO is used to process sEMG signals and send control signals to the exoskeleton. Thus, the complete exoskeleton system consists of sEMG as primary sensor and flex sensor as secondary sensor while the whole control system is designed in LabVIEW. FEA simulation and tests show that the exoskeleton is suitable for an average human weight of 62 kg plus excess force with different reactive spring forces. However, due to the mechanical properties of the exoskeleton actuator, it will require additional lift to provide the rapid reactive impulse force needed to increase biomechanical movement such as squatting up. Finally, with the increasing availability of such assistive devices on the market, the important aspect of ethical, social and legal issues have also emerged and discussed in this paper.
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【回缩】基于肌电图的腿部外骨骼力量增强器的设计与开发
本文回顾了不同外骨骼的设计,并提出了一种表面肌电控制外骨骼的工作原型,以增强小腿的力量。设计了外骨骼的计算机辅助设计(CAD)模型,并根据人体测量学的黄金比例进行了3D打印,并进行了结构测试。外骨骼控制系统是在LabVIEW国家仪器平台上设计的,并嵌入到myRIO中。将表面肌电信号传感器(sEMG)与柔性传感器(flex sensors)相结合,为肌电信号、人体姿态和机械外骨骼驱动控制创建不同的状态滤波器。myRIO用于处理表面肌电信号并向外骨骼发送控制信号。因此,完整的外骨骼系统由表面肌电信号为主传感器和柔性传感器为辅传感器组成,整个控制系统在LabVIEW中进行设计。有限元模拟和试验表明,该外骨骼可以承受人体平均体重62 kg加上不同反力弹簧的超力。然而,由于外骨骼驱动器的机械特性,它需要额外的升力来提供快速反应冲力,以增加生物力学运动(如蹲起)。最后,随着此类辅助设备在市场上的可用性越来越高,道德,社会和法律问题的重要方面也出现了,并在本文中进行了讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
0.70
自引率
0.00%
发文量
10
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