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DESIGN OF A NOVEL TASK-BASED KNEE REHABILITATION EXOSKELETON DEVICE

机译:一种新型任务膝关节康复外科设备的设计

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This study is aimed at the design of a novel task-based knee rehabilitation device. The desired trajectories of the knee have been obtained through a vision-based motion capture system. The collected experimental kinematic data has been used as an input to a spatial mechanism synthesis procedure. Parallel mechanisms with single degree-of-freedom (DOF) have been considered to generate the complex 3D motions of the lower leg. An exact workspace synthesis approach is utilized, in which the parameterized forward kinematics equations of each serial chains of the parallel mechanisms are to be converted into implicit equations via elimination. The implicit description of the workspace is made to be a function of the structural parameters of the serial chain, making it easy to relate those parameters to the desired trajectory. The selected mechanism has been verified for the accuracy of its trajectory through CAD modeling and simulations. This design approach reduces alignment and fitting challenges in an exoskeleton as the mechanism does not require alignment of each robotic joint axis with its human counterpart.
机译:本研究旨在设计一种新型任务膝关节康复设备。通过基于视觉的运动捕获系统获得了膝关节的所需轨迹。收集的实验运动数据已被用作空间机制合成过程的输入。已经考虑了具有单一自由度(DOF)的平行机构以产生小腿的复杂3D运动。利用精确的工作区合成方法,其中通过消除将每个串行链条的每个串行链的参数化的前向动力学方程转换为隐式方程。工作空间的隐式描述是串行链的结构参数的函数,使得易于将这些参数与所需的轨迹相关联。通过CAD建模和仿真验证了所选机制以获得其轨迹的准确性。这种设计方法在外骨骼中减少了对准和拟合挑战,因为该机制不需要每个机器人关节轴与其人的对应物对准。

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