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Special Issue "Methodology Applications for Sensors-Based Electronic Performance and Tracking Systems in Sport"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".

Deadline for manuscript submissions: 31 December 2021.

Special Issue Editors

Dr. José Pino-Ortega
E-Mail Website1 Website2
Guest Editor
1 Department of Physical Activity and Sport, Faculty of Sport Science, University of Murcia, 30720 Murcia, Spain
2 Faculty of Sports Sciences, BioVetMed & SportSci Research Group, University of Murcia, 30100 Murcia, Spain
Interests: electronic performance and tracking systems; technology; local positioning systems; global positioning systems; team sports performance
Special Issues and Collections in MDPI journals
Dr. Markel Rico-González
E-Mail Website
Guest Editor
Department of Physical Education and Sport, University of the Basque Country, UPV/EHU, 01007 Vitoria-Gasteiz, Spain
Interests: healthcare; applied technology; performance analysis in sport; team sports; training load management
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Dr. Asier Los Arcos
E-Mail Website
Guest Editor
Society, Sports and Physical Exercise Research Group (GIKAFIT). Department of Physical Education and Sport, Faculty of Education and Sport, University of the Basque Country (UPV/EHU), Vitoria-Gasteiz, Spain
Interests: team sports; sport pedagogy; tactical behavior; electronic performance and tracking systems
Special Issues and Collections in MDPI journals
Dr. Filipe Manuel Clemente
E-Mail Website
Guest Editor
Polytechnic Institute of Viana do Castelo, School of Sport and Leisure, 4960-320 Melgaço, Portugal
Interests: football; soccer; match analysis; performance analysis; network analysis
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

The low amount of information reported in articles´ methodology about the use of electronic performance and tracking systems (EPTS) in sport has been highlighted before. A survey published in Sensors asked what criteria should be considered using these systems. This Special Issue on “Methodology Applications for Sensors-based Electronic Performance and Tracking Systems (EPTS) in Sport” aims to go into detail about the criteria suggested in the survey. Specifically, the aim is to assess the impact of the modifications in each criterion in the measurement, recording, and processing of the data. In this way, we can evaluate the accuracy of the measure according to the used methodology using sensor-based EPTS. This issue may drive a change within sport and the use of EPTS.

Considering that more research should be done and published about such important topics, the aim of this Special Issue is to publish high-quality original investigations and narrative and systematic reviews in the field. We look forward to receiving contributions related (but not limited) to the following topics:

  • Electronic performance and tracking systems (EPTS);
  • Sports analytics;
  • Data recording;
  • Data processing.

Dr. José Pino-Ortega
Dr. Markel Rico-González
Dr. Asier Los Arcos
Dr. Filipe Manuel Clemente
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Global positioning systems
  • Local positioning systems
  • Semi-automatic camera systems
  • Microelectromechanical systems
  • Validity and reliability
  • Methodology applications

Published Papers (2 papers)

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Article
The Influence of Antenna Height on the Measurement of Collective Variables Using an Ultra-Wide Band Based Local Positioning System in Team Sports
Sensors 2021, 21(7), 2424; https://0-doi-org.brum.beds.ac.uk/10.3390/s21072424 - 01 Apr 2021
Cited by 1 | Viewed by 530
Abstract
Ultra-wide band (UWB) based local positioning systems (LPS) are based on devices and a portable antenna set. The optimal installation height of the antennae is crucial to ensure data accuracy. Collective variables are metrics that consider at least two pairs of coordinates, which [...] Read more.
Ultra-wide band (UWB) based local positioning systems (LPS) are based on devices and a portable antenna set. The optimal installation height of the antennae is crucial to ensure data accuracy. Collective variables are metrics that consider at least two pairs of coordinates, which may lead to lower precision than an individual one. Therefore, the aim of this study was to compare the influence of antenna height with collective metrics using a UWB (i.e., IMU; WIMU PRO™, RealTrack Systems, Almeria, Spain) based LPS. Data acquisition was carried out in a basketball court measuring 28 × 15 m. Five devices were used; one of which was carried by a healthy and well-trained athlete (age: 38 years, mass: 76.34 kg, height 1.70 m), while each of the remaining four was positioned on a tripod in one of the four corners of the court. Four kinds of variables were extracted: (1) static distances, (2) dynamic distances, (3) static areas and (4) dynamic areas in all antenna installation modes of 0.15, 1.30 and 2.00 m. The results showed that the antenna of 1.30 m provided better accuracy for all measures (% difference range from −0.94 to 1.17%) followed by the antenna of 2.00 m (% difference range from −2.50 to 2.15%), with the antenna of 0.15 m providing the worst accuracy level (% difference range from −1.05 to 3.28%). Overall, the measurements of distance metrics showed greater accuracy than area metrics (distance % difference range from −0.85 to 2.81% and area % difference range from −2.50 to 3.28). In conclusion, the height of the antennae in basketball courts should be similar to the height at which the devices are attached to a player’s upper back. However, as the precision is sensitive to the magnitude of the measure, further studies should assess the effects of the relative height of antennae in team sports with greater playing spaces. Full article
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Letter
A Pedestrian Dead Reckoning Method for Head-Mounted Sensors
Sensors 2020, 20(21), 6349; https://0-doi-org.brum.beds.ac.uk/10.3390/s20216349 - 07 Nov 2020
Cited by 2 | Viewed by 919
Abstract
Pedestrian dead reckoning (PDR) plays an important role in modern life, including localisation and navigation if a Global Positioning System (GPS) is not available. Most previous PDR methods adopted foot-mounted sensors. However, humans have evolved to keep the head steady in space when [...] Read more.
Pedestrian dead reckoning (PDR) plays an important role in modern life, including localisation and navigation if a Global Positioning System (GPS) is not available. Most previous PDR methods adopted foot-mounted sensors. However, humans have evolved to keep the head steady in space when the body is moving in order to stabilise the visual field. This indicates that sensors that are placed on the head might provide a more suitable alternative for real-world tracking. Emerging wearable technologies that are connected to the head also makes this a growing field of interest. Head-mounted equipment, such as glasses, are already ubiquitous in everyday life. Whilst other wearable gear, such as helmets, masks, or mouthguards, are becoming increasingly more common. Thus, an accurate PDR method that is specifically designed for head-mounted sensors is needed. It could have various applications in sports, emergency rescue, smart home, etc. In this paper, a new PDR method is introduced for head mounted sensors and compared to two established methods. The data were collected by sensors that were placed on glasses and embedded into a mouthguard. The results show that the newly proposed method outperforms the other two techniques in terms of accuracy, with the new method producing an average end-to-end error of 0.88 m and total distance error of 2.10%. Full article
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