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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 . Springer, pp. 571-579. ISBN 978-3-319-23221-8

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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.

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: 05 Jan 2018 16:50
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URI: https://strathprints.strath.ac.uk/id/eprint/54970
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