On this paper a vision-based contact and markerless method for gait evaluation is proposed, and validated in different experimental setups against commercial motion capture systems (Vicon) and inertial gait analysis tools (GaitShoes). While the development goal is its integration on the ASBGo Smart Walker platform, only an inexpensive depth camera is required. It is shown to have reasonable results when computing gait metrics in real time, in different experimental setups, from different walker types, vision hardware and walking scenarios. Performance is evaluated through RMSD values for several gait metrics. Results illustrate that the proposed approach can be a valuable non-invasive, contactless and low cost alternative to gait analysis systems used in clinical rehabilitation environments. ; This work has been supported by the FEDER Funds through COMPETE 2020 — Programa Operacional Competitividade e Internacionalizacão (POCI) and P2020 with the Reference Project EML under Grant POCI-01-0247-FEDER-033067; COMPETE 2020 — Programa Operacional Competitividade e Internacionalizacão (POCI) with the Reference Project under Grant POCI-01-0145-FEDER-006941.


    Access

    Download


    Export, share and cite



    Title :

    Markerless gait analysis vision system for real-time gait monitoring



    Publication date :

    2020-01-01



    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629



    On the reliability of single-camera markerless systems for overground gait monitoring

    Boldo, Michele / Di Marco, Roberto / Martini, Enrico et al. | BASE | 2024

    Free access

    Markerless vs. Marker-Based Gait Analysis: A Proof of Concept Study

    Moro M. / Marchesi G. / Hesse F. et al. | BASE | 2022

    Free access

    Measuring gait quality in parkinson’s disease through real-time gait phase recognition

    Mileti, Ilaria / Germanotta, Marco / Di Sipio, Enrica et al. | BASE | 2018

    Free access

    Pedestrian gait analysis using automated computer vision techniques

    Hediyeh, Houman / Sayed, Tarek / Zaki, Mohamed H. et al. | Taylor & Francis Verlag | 2014


    Gait Monitoring and Analysis: A Mathematical Approach

    massimo canonico / francesco desimoni / alberto ferrero et al. | BASE | 2023

    Free access