Stable Myoelectric Control of a Hand Prosthesis using Non-Linear Incremental Learning

Stable Myoelectric Control of a Hand Prosthesis using Non-Linear Incremental Learning

Stable myoelectric control of hand prostheses remains an open problem. The only successful human-machine interface is surface electromyography, typically allowing control of a few degrees of freedom. Machine learning techniques may have the potential to remove these limitations, but their performanc...

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Bibliographic Details
Main Authors: Arjan eGijsberts, Rashida eBohra, David eSierra González, Alexander eWerner, Markus eNowak, Barbara eCaputo, Maximo Alejandro Roa, Claudio eCastellini
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-02-01
Series:Frontiers in Neurorobotics
Subjects:
machine learning
human-machine interaction
surface electromyography
force control
rehabilitation robotics
Incremental Learning
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnbot.2014.00008/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnbot.2014.00008/full

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