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Online quality assessment of human movement from skeleton data

Research output: Contribution to conference › Conference Paper › peer-review

61 Citations (Scopus)
595 Downloads (Pure)

Abstract

We propose a general method for online estimation of the quality of movements from Kinect skeleton data. A robust non-linear manifold learning technique is used to reduce the dimensionality of the noisy skeleton data. Then, a statistical model of normal movement is built from observations of healthy subjects, and the level of matching of new observations with this model is computed on a frame-by-frame basis following Markovian assumptions. The proposed method is validated on the assessment of gait on stairs.
Original languageEnglish
Publication statusPublished - Sept 2014
EventBritish Machine Vision Conference - University of Nottingham, Nottingham, United Kingdom
Duration: 1 Sept 2014 → 5 Sept 2014

Conference

ConferenceBritish Machine Vision Conference
Country/TerritoryUnited Kingdom
CityNottingham
Period1/09/14 → 5/09/14

Research Groups and Themes

  • Digital Health
  • SPHERE

Keywords

  • Digital Health

Access to Document

  • Full-text PDF (final published version)

    This is the final published version of the article (version of record). It first appeared online via BMVC at http://www.bmva.org/bmvc/2014/. Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 1.17 MB

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    • SPHERE (EPSRC IRC)

      Craddock, I. J. (Principal Investigator), Coyle, D. T. (Principal Investigator), Flach, P. A. (Principal Investigator), Kaleshi, D. (Principal Investigator), Mirmehdi, M. (Principal Investigator), Piechocki, R. J. (Principal Investigator), Stark, B. H. (Principal Investigator), Ascione, R. (Co-Principal Investigator), Ashburn, A. M. (Collaborator), Burnett, M. E. (Collaborator), Damen, D. (Co-Principal Investigator), Gooberman-Hill, R. (Principal Investigator), Harwin, W. S. (Collaborator), Hilton, G. (Co-Principal Investigator), Holderbaum, W. (Collaborator), Holley, A. P. (Manager), Manchester, V. A. (Administrator), Meller, B. J. (Other ), Stack, E. (Collaborator) & Gilchrist, I. D. (Principal Investigator)

      1/10/13 → 30/09/18

      Project: Research, Parent

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