• español
  • English
  • français
  • Deutsch
  • português (Brasil)
  • italiano
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Parcourir

    Tout UVaDOCCommunautésPar date de publicationAuteursSujetsTitres

    Mon compte

    Ouvrir une session

    Statistiques

    Statistiques d'usage de visualisation

    Compartir

    Voir le document 
    •   Accueil de UVaDOC
    • PUBLICATIONS SCIENTIFIQUES
    • Departamentos
    • Dpto. Física Aplicada
    • DEP31 - Artículos de revista
    • Voir le document
    •   Accueil de UVaDOC
    • PUBLICATIONS SCIENTIFIQUES
    • Departamentos
    • Dpto. Física Aplicada
    • DEP31 - Artículos de revista
    • Voir le document
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano

    Exportar

    RISMendeleyRefworksZotero
    • edm
    • marc
    • xoai
    • qdc
    • ore
    • ese
    • dim
    • uketd_dc
    • oai_dc
    • etdms
    • rdf
    • mods
    • mets
    • didl
    • premis

    Citas

    Por favor, use este identificador para citar o enlazar este ítem:http://uvadoc.uva.es/handle/10324/23444

    Título
    Open source hardware based sensor platform suitable for human gait identification
    Autor
    Llamas Bello, CésarAutoridad UVA Orcid
    González Delgado, Manuel ÁngelAutoridad UVA Orcid
    Hernández Díez, María CarmenAutoridad UVA Orcid
    Vegas Hernández, Jesús MaríaAutoridad UVA Orcid
    Año del Documento
    2017
    Editorial
    Elsevier
    Documento Fuente
    Pervasive and Mobile Computing 38 (2017) 154–165
    Résumé
    Most initiatives about embedded sensing capabilities in computational systems lead to de- vise an ad hoc sensor platform, usually poorly reusable, as a first stage to prepare a data corpus or production prototype. In this paper, an open source hardware platform for sensing is described. This platform was intended to be used in data acquisition for gait identification, and is designed in a way general enough so many other projects could reuse the design to accelerate prototyping. The platform is based on popular open source hardware and software like Arduino and Raspberry Pi using well known languages and libraries. Some experimental results about the throughput of the overall system are reported showing the feasibility of acquiring data from up to 6 sensors with a sampling frequency no less than 118 Hz.
    Palabras Clave
    open source hardware
    sensor network
    gait identification
    Revisión por pares
    SI
    Idioma
    spa
    URI
    http://uvadoc.uva.es/handle/10324/23444
    Derechos
    openAccess
    Aparece en las colecciones
    • DEP31 - Artículos de revista [167]
    Afficher la notice complète
    Fichier(s) constituant ce document
    Nombre:
    PMC2017_38_154.pdf
    Tamaño:
    848.1Ko
    Formato:
    Adobe PDF
    Thumbnail
    Voir/Ouvrir
    Attribution-NonCommercial-NoDerivatives 4.0 InternationalExcepté là où spécifié autrement, la license de ce document est décrite en tant que Attribution-NonCommercial-NoDerivatives 4.0 International

    Universidad de Valladolid

    Powered by MIT's. DSpace software, Version 5.10