2024-03-28T17:52:42Zhttps://uvadoc.uva.es/oai/requestoai:uvadoc.uva.es:10324/234442021-06-23T10:15:04Zcom_10324_1157com_10324_931com_10324_894col_10324_1298
Open source hardware based sensor platform suitable for human gait identification
Llamas Bello, César
González Delgado, Manuel Ángel
Hernández Díez, María Carmen
Vegas Hernández, Jesús María
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.
2017-06-02
2017-06-02
2017
info:eu-repo/semantics/article
Pervasive and Mobile Computing 38 (2017) 154–165
http://uvadoc.uva.es/handle/10324/23444
154
38
165
Pervasive and Mobile Computing
38
spa
info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0/
Attribution-NonCommercial-NoDerivatives 4.0 International
Elsevier