Selected Papers from icSPORTS 2018

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Guest Editor
Department of Physical Performance, Norwegian School of Sport Sciences, 0863 Oslo, Norway
Interests: biomechanics; musculoskeletal anatomy; movement analysis; electromyography; sport physical therapy; test methodology
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Neuromuscular Research Lab, Faculty of Human Kinetics, Lisbon University, 1499-002 Lisbon, Portugal
Interests: neuromuscular function; muscle coordination; electromyography; strength training; kinesiology
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Guest Editor
Porto Biomechanics Laboratory (LABIOMEP-UP), Centre of Research, Education, Innovation and Intervention in Sport (CIFI2D), Faculty of Sport, University of Porto, 4200-450 Porto, Portugal
Interests: sports sciences; biomechanics; swimming
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Special Issue Information

Dear Colleagues,

The 6th International Congress on Sport Sciences Research and Technology support (icSPORTS 2018) will be held in Seville, Spain, 20–21 September, 2018 (http://www.icsports.org/). Most human activities, including sports, are becoming more and more technological. Engineering in general and Information Technology in particular are important in the support for many activities directly or indirectly related to sport sciences, including improvement of physical activities and sports performance, sports medicine, biotechnology and nutrition, sports management, and all other application areas in sports. This congress intends to be a meeting point for both academics, sport professionals and practitioners to exchange ideas and develop synergies.

Selected papers that presented at the congress are invited to submit their extended versions to this Special Issue of Journal of Functional Morphology and Kinesiology after the conference. All submitted papers will undergo the standard peer-review procedure and fast publication. Accepted papers will be published in open access format and collected together in this Special Issue. There are no publication charges for this journal in 2018.

Prof. Dr. Jan Cabri
Prof. Dr. Pedro Pezarat-Correia
Prof. Dr. João Paulo Vilas-Boas
Guest Editors

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Keywords

  • physical activity
  • exercise
  • sports performance
  • sports medicine
  • health
  • technology support

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Published Papers (1 paper)

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Research

22 pages, 8421 KiB  
Article
Detection Accuracy of Soccer Players in Aerial Images Captured from Several Viewpoints
by Takuro Oki, Ryusuke Miyamoto, Hiroyuki Yomo and Shinsuke Hara
J. Funct. Morphol. Kinesiol. 2019, 4(1), 9; https://doi.org/10.3390/jfmk4010009 - 21 Jan 2019
Cited by 5 | Viewed by 2992
Abstract
In the fields of professional and amateur sports, players’ health, physical and physiological conditions during exercise should be properly monitored and managed. The authors of this paper previously proposed a real-time vital-sign monitoring system for players using a wireless multi-hop sensor network that [...] Read more.
In the fields of professional and amateur sports, players’ health, physical and physiological conditions during exercise should be properly monitored and managed. The authors of this paper previously proposed a real-time vital-sign monitoring system for players using a wireless multi-hop sensor network that transmits their vital data. However, existing routing schemes based on the received signal strength indicator or global positioning system do not work well, because of the high speeds and the density of sensor nodes attached to players. To solve this problem, we proposed a novel scheme, image-assisted routing (IAR), which estimates the locations of sensor nodes using images captured from cameras mounted on unmanned aerial vehicles. However, it is not clear where the best viewpoints are for aerial player detection. In this study, the authors investigated detection accuracy from several viewpoints using an aerial-image dataset generated with computer graphics. Experimental results show that the detection accuracy was best when the viewpoints were slightly distant from just above the center of the field. In the best case, the detection accuracy was very good: 0.005524 miss rate at 0.01 false positive-per-image. These results are informative for player detection using aerial images and can facilitate to realize IAR. Full article
(This article belongs to the Special Issue Selected Papers from icSPORTS 2018)
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