EMG Feature Extraction to Control the Prosthetic Hand

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Omidvar, Amir Hossein | 2010

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Type of Document: M.Sc. Thesis
Language: English
Document No: 41518 (58)
University: Sharif University of Technology, International Campus, Kish Island
Department: Science and Engineering
Advisor(s): Vossoughi Vahdat, Bijan
Abstract:
The objective of this project is to consider the various methods employed in processing the EMG signal to control an artificial hand. The current presented methods of EMG processing do not benefit from the fact that sequential movements are closely correlated. Using this time correlation we are going to improve the correctness of the prediction of movements. To find the application of this project in commercial artificial hand we focus on one DOF hand for a high level of accuracy. Using this processing method combined with an artificial hand having Geometric Adaptability may present an acceptable product for commercial use.
Keywords:
Electromyogram Signal ; Artificial Hand ; Neural Network ; Feature Extraction ; Signal Processing

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