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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, Cesar
González, Manuel Á.
Hernández, Carmen
Vegas, Jesús
Año del Documento: 2017
Editorial: Elsevier
Documento Fuente: Pervasive and Mobile Computing 38 (2017) 154–165
Resumen: 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: info:eu-repo/semantics/openAccess
Aparece en las colecciones:DEP31 - Artículos de revista

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