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Identification of finger operation using support vector machine and control of myoelectric prosthetic hand based on integrated electromyogram

机译:基于支持向量机的手指操作识别和基于集成肌电图的肌电假手控制

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In this paper, we discuss the identification of finger operation and control of the fingers of a myoelectric prosthetic hand. In our proposed design, finger operation is categorized as one of the six types of motion, and on the basis of integrated electromyography (IEMG), the identification of finger operation is performed using a support vector machine-based classifier. In addition, we describe a new method for controlling a myoelectric prosthetic hand with IEMG. It has been reported that the IEMG represents the amount of the activity of a muscle. Experiments were performed to verify the proposed methods.
机译:在本文中,我们讨论了肌电假手的手指操作识别和手指控制。在我们提出的设计中,手指操作被归类为六种类型的运动之一,并且在集成肌电图(IEMG)的基础上,使用基于支持向量机的分类器对手指操作进行了识别。此外,我们介绍了一种使用IEMG控制肌电修复手的新方法。据报道,IEMG代表肌肉的活动量。进行实验以验证所提出的方法。

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