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首页> 外文期刊>IFAC PapersOnLine >EMG-driven models of human-machine interaction in individuals wearing the H2 exoskeleton * * This work was supported by the ERC Advanced Grant DEMOVE [267888]
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EMG-driven models of human-machine interaction in individuals wearing the H2 exoskeleton * * This work was supported by the ERC Advanced Grant DEMOVE [267888]

机译:由肌电图驱动的佩戴H2外骨骼的人机交互模型 * * 这项工作得到了ERC高级资助的支持删除[267888]

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摘要

Abstract: EMG-driven modeling has been mostly used offline and on powerful desktop computers, limiting the application of this technique to neurorehabilitation settings. In this paper, we demonstrate the use of EMG-driven modeling in online (i.e. in real-time) running on a fully portable embedded system and interfaced concurrently with a powered lower limb exoskeleton. This work provides evidence of the feasibility of real-time model-based control of complex multi-joint exoskeleton system, thus opening new avenues for personalised robot-aided rehabilitation interventions.
机译:摘要:EMG驱动的建模已广泛用于脱机和功能强大的台式计算机上,从而限制了该技术在神经康复环境中的应用。在本文中,我们演示了在完全可移植的嵌入式系统上运行的在线(即实时)EMG驱动的建模的使用,并与动力下肢外骨骼同时连接。这项工作为复杂的多关节外骨骼系统基于模型实时控制的可行性提供了证据,从而为个性化机器人辅助康复干预开辟了新途径。

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