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Review
. 2019 Oct 1;5(1):e000565.
doi: 10.1136/bmjsem-2019-000565. eCollection 2019.

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

Daniel Rojas-Valverde  1 , Carlos D Gómez-Carmona  2 , Randall Gutiérrez-Vargas  1 , Jose Pino-Ortega  3
Affiliations
Review

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

Daniel Rojas-Valverde et al. BMJ Open Sport Exerc Med. .

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.

Keywords: data mining; principal component analysis; remote sensing technology; sport performance; technical report.

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Conflict of interest statement

Competing interests: None declared.

Figures

Figure 1
Figure 1
(A) Inertial measurement unit’s applications in sports. Analyses in (B) speed motorcycling: pilot’s internal and external loads, (C) running: multidevices external load running and (D) canoeing: stroke mechanic and canoe oscillation.
Figure 2
Figure 2
From data collecting to technical staff reporting flow chart.
See this image and copyright information in PMC

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