Por favor, use este identificador para citar o enlazar este ítem:https://uvadoc.uva.es/handle/10324/65258
Título
A comparative study on wearables and single-camera video for upper-limb out-of-the-lab activity recognition with different deep learning architectures
Autor
Año del Documento
2023
Editorial
Elsevier
Descripción
Producción Científica
Documento Fuente
Zarzuela, M. M., González-Ortega, D., Antón-Rodríguez, M., Díaz-Pernas, F. J., Müller, H., & Simón-Martínez, C. (2023). A comparative study on wearables and single-camera video for upper-limb out-of-the-lab activity recognition with different deep learning architectures. Gait & Posture, 106. doi:10.1016/j.gaitpost.2023.07.149
Zusammenfassung
-
ISSN
0966-6362
Revisión por pares
SI
Patrocinador
This research was partially funded by the funded by the Ministry of Science and Innovation of Spain under research grant “Rehabot: Smart assistant to complement and assess the physical rehabilitation of children with cerebral palsy in their natural environment”, with code 124515OA-100, and the mobility grant “Ayudas Movilidad Estancias Senior (Salvador Madariaga 2021)” with code PRX21/00612.
Version del Editor
Idioma
eng
Tipo de versión
info:eu-repo/semantics/publishedVersion
Derechos
restrictedAccess
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