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Basketball player on-body biophysical and environmental parameter monitoring based on wireless sensor network integration

Authors :
Jesús Villadangos
José Javier Astrain
Erik Aguirre
Leyre Azpilicueta
Mikel Celaya-Echarri
Peio Lopez-Iturri
Francisco Falcone
Imanol Picallo Guembe
Universidad Pública de Navarra. Departamento de Ingeniería Matemática e Informática
Universidad Pública de Navarra. Departamento de Ingeniería Eléctrica, Electrónica y de Comunicación
Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa. ISC - Institute of Smart Cities
Nafarroako Unibertsitate Publikoa. Matematika eta Informatika Ingeniaritza Saila
Nafarroako Unibertsitate Publikoa. Ingeniaritza Elektriko, Elektroniko eta Telekomunikazio Saila
Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa. Institute of Smart Cities - ISC
Nafarroako Unibertsitate Publikoa. Ingeniaritza Elektrikoa, Elektronikoa eta Telekomunikazio Ingeniaritza Saila
Source :
Academica-e. Repositorio Institucional de la Universidad Pública de Navarra, instname, IEEE Access, Vol 9, Pp 27051-27066 (2021)
Publication Year :
2021
Publisher :
IEEE, 2021.

Abstract

Sport activities have benefited in recent years from the progressive adoption of different technological assets in order to improve individual as well as group training, collect different statistics or enhance the spectator experiences. The progressive adoption of Internet of Things paradigms can also be considered within the scope of sport activities, providing high levels of user interactivity as well as enabling cloud-based data storage and processing. In this work, a system for monitoring biophysical, kinematic and environmental parameters within the development of basketball training is presented. A set of on-body nodes with multiple sensors and wireless body area network capabilities have been designed, implemented and tested under real training conditions during a match. Wireless channel analysis results have been obtained with the aid of in house implemented deterministic 3D ray launching algorithm, providing accurate coverage/capacity estimations in relation with human body consideration in the field as well as in the stadium. Measurement results give relevant information in relation with individual player characteristics as well as with team characteristics, providing a flexible tool to improve training development of basketball. This work was supported in part by the Ministerio de Ciencia, Innovación y Universidades, Spain, (MCIU)/Agencia Estatal de Investigación (AEI)/Fondo Europeo de Desarrollo Regional (FEDER)/European Union under Grant RTI2018-095499-B-C31 (IoTrain), and in part by the European Union's Horizon 2020 Research and Innovation Program (Stardust-Holistic and Integrated Urban Model for Smart Cities) under Grant 774094.

Details

Database :
OpenAIRE
Journal :
Academica-e. Repositorio Institucional de la Universidad Pública de Navarra, instname, IEEE Access, Vol 9, Pp 27051-27066 (2021)
Accession number :
edsair.doi.dedup.....9dfc27d872d629576f1672393abfd791