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Vision System-Based Design and Assessment of a Novel Shoulder Joint Mechanism for an Enhanced Workspace Upper Limb Exoskeleton

机译:基于视觉系统的新型工作区上肢外骨骼肩关节机制的设计和评估

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摘要

Exoskeletons arise as the common ground between robotics and biomechanics, where rehabilitation is the main field in which these two disciplines find cohesion. One of the most relevant challenges in upper limb exoskeleton design relies in the high complexity of the human shoulder, where current devices implement elaborate systems only to emulate the drifting center of rotation of the shoulder joint. This paper proposes the use of 3D scanning vision technologies to ease the design process and its implementation on a variety of subjects, while a motion tracking system based on vision technologies is applied to assess the exoskeleton reachable workspace compared with an asymptomatic subject. Furthermore, the anatomic fitting index is proposed, which compares the anatomic workspace of the user with the exoskeleton workspace and provides insight into its features. This work proposes an exoskeleton architecture that considers the clavicle motion over the coronal plane whose workspace is determined by substituting the direct kinematics model with the dimensional parameters of the user. Simulations and numerical examples are used to validate the analytical results and to conciliate the experimental results provided by the vision tracking system.
机译:外骨骼是机器人技术和生物力学之间的共同基础,而康复是这两个学科凝聚力的主要领域。上肢外骨骼设计中最相关的挑战之一是人肩部的高度复杂性,目前的设备采用复杂的系统,只能模拟肩关节旋转的漂移中心。本文提出了使用3D扫描视觉技术来简化设计过程及其在各种对象上的实现的方法,同时将基于视觉技术的运动跟踪系统与无症状对象相比,用于评估外骨骼可到达的工作空间。此外,提出了解剖拟合指数,该指数将用户的解剖工作空间与外骨骼工作空间进行比较,并提供对其功能的洞察力。这项工作提出了一种外骨骼结构,该结构考虑了通过直接运动学模型替换用户的尺寸参数来确定其工作空间是在冠状平面上进行的锁骨运动。仿真和数值示例用于验证分析结果并协调视觉跟踪系统提供的实验结果。

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