Next Article in Journal
Vehicle Cooperative Network Model Based on Hypergraph in Vehicular Fog Computing
Previous Article in Journal
Foveation Pipeline for 360° Video-Based Telemedicine
Article

A Survey to Assess the Quality of the Data Obtained by Radio-Frequency Technologies and Microelectromechanical Systems to Measure External Workload and Collective Behavior Variables in Team Sports

1
Departament of Physical Education and Sport, University of the Basque Country, UPV-EHU, Lasarte 71, 01007 Vitoria-Gasteiz, Spain
2
Centro de Investigación y Diagnóstico en Salud y Deporte (CIDISAD), Escuela de Ciencias del Movimiento Humano y Calidad de Vida, Universidad Nacional, Heredia 86-3000, Costa Rica
3
Escola Superior Desporto e Lazer, Instituto Politécnico de Viana do Castelo, Rua Escola Industrial e Comercial de Nun’Álvares, 4900-347 Viana do Castelo, Portugal
4
Instituto de Telecomunicações, Delegação da Covilhã, 1049-001 Lisbon, Portugal
5
Faculty of Sports Sciences, University of Murcia, 30720 San Javier, Spain
*
Authors to whom correspondence should be addressed.
Sensors 2020, 20(8), 2271; https://doi.org/10.3390/s20082271
Received: 16 March 2020 / Revised: 13 April 2020 / Accepted: 15 April 2020 / Published: 16 April 2020
(This article belongs to the Section Intelligent Sensors)
Electronic performance and tracking systems (EPTS) and microelectromechanical systems (MEMS) allow the measurement of training load (TL) and collective behavior in team sports so that match performance can be optimized. Despite the frequent use of radio-frequency (RF) technology (i.e., global positioning navigation systems (GNSS/global positioning systems (GPS)) and, local position systems (LPS)) and MEMS in sports research, there is no protocol that must be followed, nor are there any set guidelines for evaluating the quality of the data collection process in studies. Thus, this study aims to suggest a survey based on previously used protocols to evaluate the quality of data recorded by RF technology and MEMS in team sports. A quality check sheet was proposed considering 13 general criteria items. Four additional items for GNSS/GPS, eight additional items for LPS, and five items for MEMS were suggested. This information for evaluating the quality of the data collection process should be reported in the methods sections of future studies. View Full-Text
Keywords: electronic performance and tracking systems; global position system; local position system; athlete tracking; sensor; MEMS; positioning; time–motion analysis electronic performance and tracking systems; global position system; local position system; athlete tracking; sensor; MEMS; positioning; time–motion analysis
MDPI and ACS Style

Rico-González, M.; Los Arcos, A.; Rojas-Valverde, D.; Clemente, F.M.; Pino-Ortega, J. A Survey to Assess the Quality of the Data Obtained by Radio-Frequency Technologies and Microelectromechanical Systems to Measure External Workload and Collective Behavior Variables in Team Sports. Sensors 2020, 20, 2271. https://doi.org/10.3390/s20082271

AMA Style

Rico-González M, Los Arcos A, Rojas-Valverde D, Clemente FM, Pino-Ortega J. A Survey to Assess the Quality of the Data Obtained by Radio-Frequency Technologies and Microelectromechanical Systems to Measure External Workload and Collective Behavior Variables in Team Sports. Sensors. 2020; 20(8):2271. https://doi.org/10.3390/s20082271

Chicago/Turabian Style

Rico-González, Markel, Asier Los Arcos, Daniel Rojas-Valverde, Filipe M. Clemente, and José Pino-Ortega. 2020. "A Survey to Assess the Quality of the Data Obtained by Radio-Frequency Technologies and Microelectromechanical Systems to Measure External Workload and Collective Behavior Variables in Team Sports" Sensors 20, no. 8: 2271. https://doi.org/10.3390/s20082271

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop