Choosing a similarity index to quantify gait data variability

Di Marco, R. orcid.org/0000-0002-3644-352X, Pacilli, A., Scalona, E. et al. (3 more authors) (2016) Choosing a similarity index to quantify gait data variability. In: Gait & Posture. XVII Congress of the Italian Society of Movement Analysis in Clinics SIAMOC, 5-8 October 2016, Milano, Italy. Elsevier .

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2016 Elsevier. This is an author produced version of a paper subsequently published in Gait & Posture. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/)
Dates:
  • Accepted: 27 July 2016
  • Published (online): 17 September 2016
  • Published: September 2016
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield)
Funding Information:
FunderGrant number
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC)EP/K03877X/1
EUROPEAN COMMISSION - FP6/FP7MDPAEDIGREE - 600932
Depositing User: Symplectic Sheffield
Date Deposited: 01 Aug 2016 13:32
Last Modified: 20 Sep 2017 04:04
Published Version: https://doi.org/10.1016/j.gaitpost.2016.07.032
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.gaitpost.2016.07.032

Share / Export

Statistics