Open Access
ITM Web Conf.
Volume 41, 2022
International Conference on Exploring Service Science (IESS 2.2)
Article Number 04004
Number of page(s) 11
Section Smart Services’ Innovation Design
Published online 08 February 2022
  1. J. Castellano, D. Alvarez-Pastor, P. S. Bradley. Evaluation of research using computerised tracking systems (Amisco® and Prozone®) to analyse physical performance in elite soccer: A systematic review. Sports medicine, 44(5), 701–712 (2014) [CrossRef] [Google Scholar]
  2. C. Carling, J. Bloomfield, L. Nelsen. The role of motion analysis in elite soccer: contemporary performance measurement techniques and work rate data. Sports Med.; 38(10): 839–62 (2008) [CrossRef] [Google Scholar]
  3. A. Redwood-Brown, W. Cranton, C. Sunderland. Validation of a real-time video analysis system for soccer. Int J Sports Med.; 33: 635–40 (2012) [CrossRef] [Google Scholar]
  4. S. Barris, C. Button. A review of vision-based motion analysis in sport. Sports Med.; 38(12):1025–43 (2008) [CrossRef] [Google Scholar]
  5. V. Di Salvo, A. Collins, B. McNeill B. Validation of ProZone: a new video-based performance analysis system. Int J Perf Anal Sport.; 6: 108–19 (2006) [Google Scholar]
  6. V. Di Salvo, W. Gregson, G. Atkinson. Analysis of high- intensity activity in Premier League soccer. Int J Sports Med. 2009; 30(3): 205–12 (2009) [CrossRef] [Google Scholar]
  7. P. S. Bradley, W. Sheldon, B. Wooster. High-intensity running in English FA Premier League soccer matches. J Sports Sci.; 27(2): 159–68 (2009) [CrossRef] [Google Scholar]
  8. A. Dellal, D. P. Wong, W. Moalla. Physical and technical activity of soccer players in the French First League - with special reference to their playing position. Int Sport Med J.; 11(2): 278–90 (2010) [Google Scholar]
  9. R. Bartlett, C. Button, M. Robins. Analysing team coordi- nation patterns from player movement trajectories in soccer: methodological considerations. Int J Perf Anal Sport.; 12: 398–424 (2012) [Google Scholar]
  10. J. B. Taylor, S. D. Mellalieu, N. James. The influence of match location, quality of opposition, and match status on technical performance in professional association football. J Sports Sci.; 26(9): 885–95 (2008) [CrossRef] [Google Scholar]
  11. H. Sarmento, R. Marcelino, M. T. Anguera, J. CampaniÇo, N. Matos, J. C. LeitÃo. Match analysis in football: a systematic review. Journal of sports sciences, 32(20): 1831–1843 (2014) [CrossRef] [Google Scholar]
  12. C. Carling, T. Reilly, A. Williams (Eds.). Performance assessment for field sports. London: Routledge (2009) [Google Scholar]
  13. B. Drust, G. Atkinson, T. Reilly. Future perspectives in the evaluation of the physiological demands of soccer. [Review]. Sports Medicine; 37(9): 783–805 (2007). [CrossRef] [Google Scholar]
  14. N. Balague, C. Torrents, R. Hristovski, K. Davids, D. Araújo. Overview of complex systems in sport. Journal of Systems Science & Complexity; 26(1): 4–13 (2013) [CrossRef] [Google Scholar]
  15. J. Sampaio, V. Maçãs. Measuring tactical behaviour in football. International Journal of Sports Medicine; 33(5), 395–401 (2012). [CrossRef] [Google Scholar]
  16. M. S. Islam. Introducing drone technology to soccer coaching. Int J Sports Sci Phys Educ; 5(1): 1–4 (2020) [CrossRef] [Google Scholar]
  17. Q. Arena. Are Drones the Future of Sport Training? Quadcopter Arena 2018. ining/ (accessed January 21, 2020). [Google Scholar]
  18. D. Powderly. Drones In Football. Medium 2016. (accessed January 21, 2020). [Google Scholar]
  19. R. Rein, D. Memmert. Big data and tactical analysis in elite soccer: future challenges and opportunities for sports science. Springer Plus 2016; 5. [Google Scholar]
  20. A. Ric, C. Torrents, B. Gonçalves, L. Torres-Ronda, J. Sampaio, R. Hristovski. Dynamics of tactical behaviour in association football when manipulating players’ space of interaction. PLOS ONE 2017; 12: e0180773. [CrossRef] [Google Scholar]
  21. L. Viegas. Drone changing soccer analysis. Soccer HUB 2019. (accessed November 21, 2021). [Google Scholar]
  22. P. Kirkbride. Everton FC use drone technology to film training sessions - Liverpool Echo 2015. (accessed November 21, 2021). [Google Scholar]
  23. M. Sparks, B. Coetzee, T. J. Gabbett. Internal And External Match Loads Of University-Level Soccer Players: A Comparison Between Methods. Journal of Strength and Conditioning Research Journal of Strength [Epub ahead of print] (2016) [Google Scholar]
  24. D. B. Dwyer, T. J. Gabbett. Global positioning system data analysis: Velocity ranges and a new definition of sprinting for field sport athletes. The Journal of Strength & Conditioning Research; 26(3): 818–824 (2012) [CrossRef] [Google Scholar]
  25. F. J. N. Sánchez, F. J. T. Bendala, M. Á. C. Vázquez, L. J. S. Moreno-Arrones. Individualized speed threshold to analyze the game running demands in soccer players using GPS technology. Retos: nuevas tendencias en educación física, deporte y recreación; 32: 130–133 (2017) [Google Scholar]
  26. R. K. Yin. Qualitative research from start to finish. New York, NY, USA: The Guilford Press (2015) [Google Scholar]
  27. B. Yazan. Three approaches to case study methods in education: Yin, Merriam, and Stake. The Qualitative Report, 20(2), 134–152. (2015) [Google Scholar]
  28. B.G. Glaser, A.L. Strauss. Discovery of grounded theory: Strategies for qualitative research. Routledge. doi: 10.4324/9780203793206. (2017) [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.