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
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Item type: Book Section ID code: 54970 Dates: DateEventSeptember 2015PublishedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering
Faculty of Engineering > Biomedical EngineeringDepositing user: Pure Administrator Date deposited: 11 Dec 2015 04:28 Last modified: 02 Feb 2025 17:27 URI: https://strathprints.strath.ac.uk/id/eprint/54970