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Control of anthropomorphic teleoperator fingers using surface electromyograms

机译:使用表面肌电图控制拟人远距离操作者手指

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摘要

Natural and synergistic control systems for anthropomorphic teleoperators can be developed using direct biological signals. A computer model of a two-finger teleoperator was developed and controlled using surface electromyography (EMG) from the flexor digitorum superficialis during flexion-extension of the index finger. The results of the study revealed a linear relationship between the RMS EMG and the flexion-extension of the finger model. The RMS error in the system was 0.22/spl deg/-2.75/spl deg/. Therefore, surface EMG can be used as a direct biocontrol for teleoperators and in virtual reality (VR) applications.
机译:可以使用直接生物信号来开发拟人遥控操作员的自然和协同控制系统。在食指屈伸过程中,使用表面肌电图(EMG)从浅指趾浅屈肌中开发并控制了两指远程操作员的计算机模型。研究结果表明,RMS EMG与手指模型的屈伸之间呈线性关系。系统中的RMS误差为0.22 / spl deg / -2.75 / spl deg /。因此,表面肌电图可用作远程操作人员和虚拟现实(VR)应用程序的直接生物控制。

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