Definition and composition of motor primitives using latent force models and hidden Markov models

Agudelo-España, D., Álvarez, M.A. orcid.org/0000-0002-8980-4472 and Orozco, Á.A. (2017) Definition and composition of motor primitives using latent force models and hidden Markov models. In: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2016. Iberoamerican Congress on Pattern Recognition, 08/11/2016-11/11/2016, Lima, Peru. Lecture Notes in Computer Science, 10125 . Springer Verlag , pp. 249-256. ISBN 9783319522760

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Copyright, Publisher and Additional Information: © 2017 Springer. This is an author produced version of a paper subsequently published in Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2016. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Movement representation; Motor primitives; Latent force models; Hidden Markov models; Switched models; Multi-output GPs
Dates:
  • Published (online): 16 February 2017
  • Published: 16 February 2017
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 19 May 2017 10:41
Last Modified: 18 Jul 2017 18:01
Published Version: https://doi.org/10.1007/978-3-319-52277-7_31
Status: Published
Publisher: Springer Verlag
Series Name: Lecture Notes in Computer Science
Refereed: Yes
Identification Number: https://doi.org/10.1007/978-3-319-52277-7_31

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