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From big data mining to technical sport reports: the case of inertial measurement units
  1. Daniel Rojas-Valverde1,
  2. Carlos D Gómez-Carmona2,
  3. Randall Gutiérrez-Vargas1,
  4. Jose Pino-Ortega3
  1. 1 Centro de Investigación y Diagnóstico en Salud y Deporte, Escuela Ciencias del Movimiento Humano y Calidad de Vida, Universidad Nacional de Costa Rica, Heredia, Costa Rica
  2. 2 Physical Activity and Sport Department, University of Extremadura, Caceres, Spain
  3. 3 BioVetMed & SportSci Research Group, Department of Physical Activity and Sport, Universidad de Murcia, Murcia, Spain
  1. Correspondence to Dr Daniel Rojas-Valverde; drojasv{at}hotmail.com

Abstract

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.

  • remote sensing technology
  • sport performance
  • data mining
  • principal component analysis
  • technical report

This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

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Footnotes

  • Contributors DR-V: first draft and conceptual idea of the manuscript, and reviewing, editing and writing of the manuscript. CDG-C, RG-V and JP-O: editing, reviewing, writing and development of the manuscript.

  • Funding The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.

  • Competing interests None declared.

  • Patient consent for publication Not required.

  • Provenance and peer review Not commissioned; externally peer reviewed.