Multiple Binary Classifications via Linear Discriminant Analysis for Improved Controllability of a Powered Prosthesis
Volume: 18, Issue: 1, Pages: 49 - 57
Published: Feb 1, 2010
Abstract
This paper describes a novel pattern recognition based myoelectric control system that uses parallel binary classification and class specific thresholds. The system was designed with an intuitive configuration interface, similar to existing conventional myoelectric control systems. The system was assessed quantitatively with a classification error metric and functionally with a clothespin test implemented in a virtual environment. For each case,...
Paper Details
Title
Multiple Binary Classifications via Linear Discriminant Analysis for Improved Controllability of a Powered Prosthesis
Published Date
Feb 1, 2010
Volume
18
Issue
1
Pages
49 - 57
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