Analysis of gait using a treadmill and a Time-of-flight camera

Rasmus Ramsbøl Jensen, Rasmus Reinhold Paulsen, Rasmus Larsen

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    We present a system that analyzes human gait using a treadmill and a Time-of-flight camera. The camera provides spatial data with local intensity measures of the scene, and data are collected over several gait cycles. These data are then used to model and analyze the gait. For each frame the spatial data and the intensity image are used to fit an articulated model to the data using a Markov random field. To solve occlusion issues the model movement is smoothened providing the missing data for the occluded parts. The created model is then cut into cycles, which are matched and through Fourier fitting a cyclic model is created. The output data are: Speed, Cadence, Step length and Range-of-motion. The described output parameters are computed with no user interaction using a setup with no requirements to neither background nor subject clothing.
    Original languageEnglish
    Title of host publicationDynamic 3D Imaging
    Place of PublicationHeidelberg
    PublisherSpringer
    Publication date2009
    Pages154-166
    ISBN (Print)978-3-642-03777-1
    Publication statusPublished - 2009
    EventDynamic 3D Imaging -
    Duration: 1 Jan 2009 → …

    Conference

    ConferenceDynamic 3D Imaging
    Period01/01/2009 → …

    Keywords

    • gait analysis
    • motion capture
    • computer vision
    • Markov random fields
    • Time-of-flight camera

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