Kinematics analysis multimedia system for rehabilitation

Ye, Minxiang and Yang, Cheng and Stankovic, Vladimir and Stankovic, Lina and Kerr, Andrew (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

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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.

    Author(s):Ye, Minxiang ORCID logoORCID: https://orcid.org/0000-0003-0083-7145, Yang, Cheng ORCID logoORCID: https://orcid.org/0000-0002-3540-1598, Stankovic, Vladimir ORCID logoORCID: https://orcid.org/0000-0002-1075-2420, Stankovic, Lina ORCID logoORCID: https://orcid.org/0000-0002-8112-1976 and Kerr, Andrew ORCID logoORCID: https://orcid.org/0000-0002-7666-9283
    Item type:Book Section
    ID code:54970
    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 Jan 2020 17:22
    URI:https://strathprints.strath.ac.uk/id/eprint/54970
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