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Design and Implementation of DUFAB Hand, A Low-Cost Myoelectric Prosthetic Hand

机译:Dufab手的设计与实现,低成本的肌电假肢手

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摘要

In this paper, the design and implementation of a low-cost myoelectric prosthetic hand prototype are presented. Our main contributions are - (i) proposing a new Computer Aided Design (CAD) suitable for laser cutter for prosthetic hand and (ii) a new feature, XCORR that calculates cross-correlation between two channels of EMG signals for same gesture, is introduced to classify Electromyography (EMG) signals. Individual parts are designed in a 2D plane and assembled to make a 3D structure in CAD software. Acrylic is used as the main material. The prosthetic hand can exhibit 6-degree of freedom (DOF), i.e., six gestures which are required to perform essential daily tasks and grabbing objects. Commonly used features, such as SMAT, HJORTH parameters are extracted from raw EMG signals and combined with newly introduced feature XCORR to classify 6 types of individual and combined finger movements. Using the classified EMG signal as input we have controlled the designed prosthetic hand in both simulation and hardware level. The controller is designed in such a way that the angular displacement of each finger meets a predefined angle value for each classified gesture. For classification of EMG signals, the highest accuracy is observed as 93.9% with a low computational load. The proposed hand will be affordable and suitable for amputees and help them regain their ability to work.
机译:在本文中,提出了低成本肌电假型手工原型的设计和实现。我们的主要贡献是 - (i)提出适合激光切割器的新功能的新功能和(ii)的新功能,介绍了计算同一手势的两个通道之间的两个通道之间的互相关的Xcorr分类电核景(EMG)信号。各个部件设计在2D平面中并组装以在CAD软件中进行3D结构。丙烯酸用作主要材料。假肢可以表现出6度的自由度(DOF),即六个手势,这些手势需要执行基本的日常任务和抓取物体。常用的特征,例如SMAT,Hjort参数是从RAW EMG信号中提取的,并与新引入的特征XCorR组合进行分类6种类型的单独和组合的手指运动。使用分类的EMG信号作为输入,我们在模拟和硬件级别控制了设计的假肢。控制器以这样的方式设计,即每个手指的角位移符合每个分类手势的预定义角度值。对于EMG信号的分类,具有低计算负载的最高精度为93.9%。拟议的手将负担得起,适合随意,并帮助他们重新获得他们的工作能力。

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