Simultaneous Force Regression and Movement Classification of Fingers via Surface EMG within a Unified Bayesian Framework

Baldacchino, T., Jacobs, W.R., Anderson, S.R. et al. (2 more authors) (2018) Simultaneous Force Regression and Movement Classification of Fingers via Surface EMG within a Unified Bayesian Framework. Frontiers in Bioengineering and Biotechnology. ISSN 2296-4185

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2018 Baldacchino, Jacobs, Anderson, Worden and Rowson. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Keywords: sEMG signals; finger force regression; Finger Movement Classification; variational Bayes; multivariate mixture of experts; Prosthetic hand
Dates:
  • Accepted: 23 January 2018
  • Published (online): 26 February 2018
  • Published: 26 February 2018
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield)
Funding Information:
FunderGrant number
LEVERHULME TRUST (THE)RPG-2012-816
Depositing User: Symplectic Sheffield
Date Deposited: 01 Feb 2018 14:36
Last Modified: 01 Nov 2018 12:12
Published Version: https://doi.org/10.3389/fbioe.2018.00013
Status: Published
Publisher: Frontiers Media
Refereed: Yes
Identification Number: https://doi.org/10.3389/fbioe.2018.00013

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