Echo State Networks for Low-Cost Myoelectric Prosthesis Control

Volume: 10259
Published: Jan 1, 2017
Abstract
Myoelectric signals (EMG) provide an intuitive and rapid interface for controlling technical devices, in particular bionic arm prostheses. However, inferring the intended movement from a surface EMG recording is a non-trivial pattern recognition task, especially if the data stems from low-cost sensors. At the same time, overly complex models are prohibited by strict speed, data parsimony and robustness requirements. As a compromise between high...
Paper Details
Title
Echo State Networks for Low-Cost Myoelectric Prosthesis Control
Published Date
Jan 1, 2017
Journal
Volume
10259
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