Kinematics analysis multimedia system for rehabilitation

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

3 Citations (Scopus)
17 Downloads (Pure)


Driven by recent advances in information and communications technology, tele-rehabilitation services based on multimedia processing are emerging. Gait analysis is common for many rehabilitation programs, being, for example, periodically performed in the post-stroke recovery assessment. Since current optical diagnostic and patient assessment tools tend to be expensive and not portable, this paper proposes a novel marker-based tracking system using a single depth camera which provides a cost-effective solution that enables tele-rehabilitation services from home and local clinics. The proposed system can simultaneously generate motion patterns even within a complex background using the proposed geometric model-based algorithm and autonomously provide gait analysis results using a customised user-friendly application that facilitates seamless navigation through the captured scene and multi-view video data processing, designed using feedback from practitioners to maximise user experience. The locally processed rehabilitation data can be accessed by cross-platform mobile devices using cloud-based services enabling emerging tele-rehabilitation practices.
Original languageEnglish
Title of host publicationNew Trends in Image Analysis and Processing - ICIAP 2015 Workshops
Subtitle of host publicationICIAP 2015 International Workshops, BioFor, CTMR, RHEUMA, ISCA, MADiMa, SBMI, and QoEM, Genoa, Italy, September 7-8, 2015, Proceedings
EditorsVittorio Murino, Enrico Puppo, Diego Sona, Marco Cristani, Carlo Sansone
Place of PublicationCham
Number of pages9
ISBN (Print)9783319232218
Publication statusPublished - Sep 2015
EventICIAP QoEM Workshop - Italy, Genoa, Italy
Duration: 8 Sep 20158 Sep 2015

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743


WorkshopICIAP QoEM Workshop


  • multimedia signal processing
  • gait analysis
  • optical marker
  • multimedia content analysis

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  • Research Output

    • 3 Citations
    • 2 Article
    Open Access
  • 23 Citations (Scopus)
    486 Downloads (Pure)

    Autonomous gait event detection with portable single-camera gait kinematics analysis system

    Yang, C., Ugbolue, U. C., Kerr, A., Stankovic, V., Stankovic, L., Carse, B., Kaliarntas, K. T. & Rowe, P. J., 5 Jan 2016, In : Journal of Sensors. 2016, 8 p., 5036857.

    Research output: Contribution to journalArticle

    Open Access
  • 12 Citations (Scopus)
    89 Downloads (Pure)

    Cite this

    Ye, M., Yang, C., Stankovic, V., Stankovic, L., & Kerr, A. (2015). Kinematics analysis multimedia system for rehabilitation. In V. Murino, E. Puppo, D. Sona, M. Cristani, & C. Sansone (Eds.), New Trends in Image Analysis and Processing - ICIAP 2015 Workshops: ICIAP 2015 International Workshops, BioFor, CTMR, RHEUMA, ISCA, MADiMa, SBMI, and QoEM, Genoa, Italy, September 7-8, 2015, Proceedings (Vol. 9281, pp. 571-579). (Lecture Notes in Computer Science; Vol. 9281). Springer.