Detalhes bibliográficos
| Resumo: | 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. |
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| Autores principais: | André, João Carlos Vieira Peixoto |
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| Outros Autores: | Lopes, João Pedro Mendes; Palermo, Manuel Castro; Gonçalves, Diogo Barata; Matias, Ana; Pereira, Fátima; Afonso, José A.; Seabra, Eurico; Cerqueira, João José; Santos, Cristina |
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| Assunto: | Gait Rehabilitation Smart walker Vision |
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| Ano: | 2020 |
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| País: | Portugal |
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| Tipo de documento: | comunicação em conferência |
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| Tipo de acesso: | acesso aberto |
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| Instituição associada: | Universidade do Minho |
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| Idioma: | inglês |
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| Origem: | RepositóriUM - Universidade do Minho |
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