Kinematics analysis multimedia system for rehabilitation

Ye, Minxiang and Yang, Cheng and Stankovic, Vladimir and Stankovic, Lina and Kerr, Andrew; Murino, Vittorio and Puppo, Enrico and Sona, Diego and Cristani, Marco and Sansone, Carlo, eds. (2015) Kinematics analysis multimedia system for rehabilitation. In: New Trends in Image Analysis and Processing - ICIAP 2015 Workshops. Lecture Notes in Computer Science, 9281 . Springer, ITA, pp. 571-579. ISBN 9783319232218 (https://doi.org/10.1007/978-3-319-23222-5_69)

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Abstract

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.

ORCID iDs

Ye, Minxiang ORCID: https://orcid.org/0000-0003-0083-7145

Yang, Cheng ORCID: https://orcid.org/0000-0002-3540-1598

Stankovic, Vladimir ORCID: https://orcid.org/0000-0002-1075-2420

Stankovic, Lina ORCID: https://orcid.org/0000-0002-8112-1976

Kerr, Andrew ORCID: https://orcid.org/0000-0002-7666-9283

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  Item type:	Book Section
  ID code:	54970
  Dates:	Date Event September 2015 Published
  Keywords:	multimedia signal processing, gait analysis, optical marker, multimedia content analysis, Electrical engineering. Electronics Nuclear engineering, Electrical and Electronic Engineering
  Subjects:	Technology > Electrical engineering. Electronics Nuclear engineering
  Department:	Faculty of Engineering > Electronic and Electrical Engineering Faculty of Engineering > Biomedical Engineering
  Depositing user:	Pure Administrator
  Date deposited:	11 Dec 2015 04:28
  Last modified:	08 Jul 2022 00:57
  URI:	https://strathprints.strath.ac.uk/id/eprint/54970