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    Por favor, use este identificador para citar o enlazar este ítem:https://uvadoc.uva.es/handle/10324/64478

    Título
    Multimodal video and IMU kinematic dataset on daily life activities using affordable devices
    Autor
    Martínez Zarzuela, MarioAutoridad UVA Orcid
    González Alonso, JavierAutoridad UVA Orcid
    Antón Rodríguez, MiriamAutoridad UVA
    Díaz Pernas, Francisco JavierAutoridad UVA
    Henning, Müller
    Simón Martínez, Cristina
    Año del Documento
    2023-09-22
    Editorial
    Nature
    Descripción
    Producción Científica
    Documento Fuente
    Martínez-Zarzuela, M., González-Alonso, J., Antón-Rodríguez, M. et al. Multimodal video and IMU kinematic dataset on daily life activities using affordable devices. Sci Data 10, 648 (2023). https://doi.org/10.1038/s41597-023-02554-9
    Resumo
    Human activity recognition and clinical biomechanics are challenging problems in physical telerehabilitation medicine. However, most publicly available datasets on human body movements cannot be used to study both problems in an out-of-the-lab movement acquisition setting. The objective of the VIDIMU dataset is to pave the way towards affordable patient gross motor tracking solutions for daily life activities recognition and kinematic analysis. The dataset includes 13 activities registered using a commodity camera and five inertial sensors. The video recordings were acquired in 54 subjects, of which 16 also had simultaneous recordings of inertial sensors. The novelty of dataset lies in: (i) the clinical relevance of the chosen movements, (ii) the combined utilization of affordable video and custom sensors, and (iii) the implementation of state-of-the-art tools for multimodal data processing of 3D body pose tracking and motion reconstruction in a musculoskeletal model from inertial data. The validation confirms that a minimally disturbing acquisition protocol, performed according to real-life conditions can provide a comprehensive picture of human joint angles during daily life activities.
    Revisión por pares
    SI
    DOI
    10.1038/s41597-023-02554-9
    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. Cristina Simon-Martinez is funded by the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No 890641 (“Optimizing Vision reHABilitation with virtual-reality games in paediatric amblyopia (V-HAB)”)
    Idioma
    eng
    URI
    https://uvadoc.uva.es/handle/10324/64478
    Tipo de versión
    info:eu-repo/semantics/publishedVersion
    Derechos
    openAccess
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    s41597-023-02554-9.pdf
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    Universidad de Valladolid

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