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From big data mining to technical sport reports: the case of inertial measurement units

The inertial measurement units (IMU) are instruments used to quantify the external load of athletes; they are increasingly common in assessing team and individual sports. This type of instruments has several sensors, such as accelerometers, gyroscopes and magnetometers; this allows access to a large...

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Detalles Bibliográficos
Autores principales: Rojas-Valverde, Daniel, Gómez-Carmona, Carlos D, Gutiérrez-Vargas, Randall, Pino-Ortega, Jose
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797247/
https://www.ncbi.nlm.nih.gov/pubmed/31673403
http://dx.doi.org/10.1136/bmjsem-2019-000565
Descripción
Sumario:The inertial measurement units (IMU) are instruments used to quantify the external load of athletes; they are increasingly common in assessing team and individual sports. This type of instruments has several sensors, such as accelerometers, gyroscopes and magnetometers; this allows access to a large amount of information and analysis possibilities. Due to the complexity of synthesising this data, it is necessary to create a flow for collecting, analysing and presenting the collected data in a simple way and present it as quickly as possible to the technical staff. This report aims to present new methods of reduction of the data and propose a new approach method for the analysis of the IMU’s outcomes.