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.
Markerless gait analysis vision system for real-time gait monitoring
2020-01-01
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
DDC: | 629 |
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