Characterization of whole-body muscle activity during reaching movements using space-by-time modularity and functional similarity analysis

Delis, I, Hilt, P, Pozzo, T et al. (2 more authors) (2018) Characterization of whole-body muscle activity during reaching movements using space-by-time modularity and functional similarity analysis. In: Proceedings of the 10th Hellenic Conference on Artificial Intelligence. SETN 2018: 10th Hellenic Conference on Artificial Intelligence, 09-12 Jul 2018, Patras, Greece. ACM . ISBN 978-1-4503-6433-1

Abstract

Metadata

Authors/Creators:
  • Delis, I
  • Hilt, P
  • Pozzo, T
  • Panzeri, S
  • Berret, B
Copyright, Publisher and Additional Information: © 2018 Copyright is held by the owner/author(s). Publication rights licensed to ACM. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the 10th Hellenic Conference on Artificial Intelligence, https://doi.org/10.1145/10.1145/3200947.3201006. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Motor modularity; muscle synergies; EMG; space-by-time decomposition; whole-body movement; task decoding; functional similarity analysis
Dates:
  • Published: 9 July 2018
  • Accepted: 31 March 2018
  • Published (online): 9 July 2018
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Biological Sciences (Leeds) > School of Biomedical Sciences (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 06 Aug 2018 09:53
Last Modified: 24 Aug 2018 13:27
Status: Published
Publisher: ACM
Identification Number: https://doi.org/10.1145/3200947.3201006

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