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    Squat Form Analysis using Computer Vision and Sensors


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    Soyele, David, Meehan, Andrew and Hennelly, Bryan (2023) Squat Form Analysis using Computer Vision and Sensors. Project Report. UNSPECIFIED, Maynooth. (Unpublished)

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    Abstract

    Investigation of a standard squat using Open CV and Shimmer IMU's
    Item Type: Monograph (Project Report)
    Additional Information: MU SPUR - Summer Programme for Undergraduate Researchers
    Keywords: Squat Form Analysis; Computer Vision; Sensors;
    Academic Unit: Assisting Living & Learning,ALL institute
    Faculty of Science and Engineering > Electronic Engineering
    Faculty of Social Sciences > Research Institutes > Innovation Value Institute, IVI
    Item ID: 21331
    Depositing User: Andrew Meehan
    Date Deposited: 20 Mar 2026 12:00
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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