A spatiotemporal deep learning approach for automatic pathological Gait classification
Human motion analysis provides useful information for the diagnosis and recovery assessment of people suffering from pathologies, such as those affecting the way of walking, i.e., gait. With recent developments in deep learning, state-of-the-art performance can now be achieved using a single 2D-RGB-...
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| Outros Autores: | , , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2021
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10071/23281 |
| País: | Portugal |
| Oai: | oai:repositorio.iscte-iul.pt:10071/23281 |