Abstract
Around the year 2000, it became possible to track players’ positions in game sports during match. This was a revolution in performance analysis (PA) because from then on, we had a totally new family of data at our regular disposal. Before that, in the very beginnings of PA as scientific discipline, it was only in principle possible to assess positions of players on the pitch. This chapter starts with an introduction in the different technologies nowadays in use for position detection in game sports, GPS-, radar-, and video-based tracking . The focus here is only on technical details of raw data acquisition and signal processing that are relevant to practical decisions in performance analysis. Intricate details from an engineering perspective are left apart. Nevertheless, much like in action detection, caring for reliability and validity of position detection is a relevant issue for performance analysis as well and treated in a second section. The focus here is on specific problems, for example, with appropriate gold standards or compatibility of position data obtained from different systems/technologies.
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References
Aggarwal R, Ranganathan P (2016) Common pitfalls in statistical analysis: the use of correlation techniques. Perspect Clin Res 7(4):187–190
Aughey R (2011) Applications of GPS technologies to field sports. Int J Sports Physiol Perform 6(3):295–310
Beetz M, Kirchlechner B, Lames M (2005) Computerized real-time analysis of football games. IEEE Pervas Comput 4(3):33–39
Blauberger P, Marzilger R, Lames M (2021) Validation of player and ball tracking with a local positioning system. Sensors 21(4):1465. https://doi.org/10.3390/s21041465
Bloomfield JR, Polman RC, O’Donoghue PG (2007) Physical demands of different positions in FA Premier League Soccer. J Sports Sci Med 6(1):63–70
Buchheit M, Allen A, Poon T, Modonutti M, Gregson W, Di Salvo V (2014) Integrating different tracking systems in football: multiple camera semi-automatic system, local position measurement and GPS technologies. J Sports Sci 32(20):1844–1857
Casamichana D, Castellano J, Castagna C (2012) Comparing the physical demands of friendly matches and small-sided games in Semiprofessional Soccer Players. J Strength Cond Res 26(3):837–843. https://doi.org/10.1519/JSC.0b013e31822a61cf
Di Salvo V, Collins A, Mc Neill B, Cardinale M (2006) Validation of prozone: a new video-based performance analysis system. Int J Perform Anal Sport 6(1):108–119
Drawer S (2008) Real time ‘speed’ tracking for the ‘sprints’. N Stud Athletics 23(2):109–111
Duffield R, Reid M, Baker J, Spratford W (2010) Accuracy and reliability of GPS devices for measurement of movement patterns in confined spaces for court-based sports. J Sci Med Sport 13(5):523–525
Frencken W, Lemmink K, Delleman N (2010) Soccer-specific accuracy and validity of the local position measurement (LPM) system. J Sci Med Sport 13(6):641–645
Gower JC, Dijksterhuis GB (2004) Procrustes problems. Oxford University Press, Oxford
Harley J, Lovell R, Barnes C, Portas M, Weston M (2011) The interchangeability of global positioning system and semiautomated video-based performance data during elite soccer match play. J Strength Cond Res 25(8):2334–2336
Hilgard ER (1955) Discussion of probabilistic functionalism. Psychol Rev 62:226–228
Hofmann-Wellenhof B, Lichtenegger H, Collins J (2012) Global positioning system: theory and practice, 5th edn. Springer, Berlin
Lames M, Hohmann A, Pfeiffer M (2016) Zur Rolle der Wissenschaft im nationalen Spitzensportfördersystem [The role of science in the national top-level sports support system]. Sportwissenschaft 46(1):1–8. https://doi.org/10.1007/s12662-015-0394-8
Linke D, Lames M (2019) Impact of sensor/reference position on player tracking variables: center of scapulae vs center of pelvis. J Biomech 83:319–323. https://doi.org/10.1016/j.jbiomech.2018.11.046
Linke D, Link D, Lames M (2018a) Validation of electronic performance and tracking systems EPTS under field conditions. PLoS One 13(7):e0199519. https://doi.org/10.1371/journal.pone.0199519
Linke D, Link D, Lames M (2020) Football-specific validity of TRACAB’s optical video tracking systems. PLoS One 15(3):e0230179. https://doi.org/10.1371/journal.pone.0230179
Luteberget LS, Gilgien M (2020) Validation methods for global and local positioning-based athlete monitoring systems in team sports: a scoping review. Br Med J Open Sport Exerc Med 6:e000794. https://doi.org/10.1136/bmjsem-2020-000794
Merriaux P, Dupuis Y, Boutteau R, Vasseur P, Savatier X (2017) A study of Vicon System positioning performance. Sensors 17(1591):1–18
Moore GE (1965) Cramming more components onto integrated circuits. Electron Mag:4
Ogris G, Leser R, Horsak B, Kornfeind P, Heller M, Baca A (2012) Accuracy of the LPM tracking system considering dynamic position changes. J Sports Sci 30:1503–1511
Randers MB, Mujika I, Hewitt A, Santisteban J, Bischoff R, Solano R, Zubillaga A, Peltola E, Krustrup P, Mohr M (2010) Application of four different football match analysis systems: a comparative study. J Sports Sci 28(2):171–182. https://doi.org/10.1080/02640410903428525
Redwood-Brown A, Cranton W, Sunderland C (2012) Validation of a real-time video analysis system for soccer. Int J Sports Med 33(8):635–640
Reilly T, Thomas V (1976) A motion analysis of work-rate in different positional roles in professional football match-play. J Hum Mov Stud 2:87–89
Seidl T, Czyzb T, Spandler D, Franke N, Lochmann M (2016) Validation of football’s velocity provided by a radio-based tracking system. Proc Eng 147:584–589
Shannon C (1949) Communication in the presence of noise. Proc Inst Radio Eng 37(1):10–21
Shergill AS, Twist C, Highton J (2021) Importance of GNSS data quality assessment with novel control criteria in professional soccer match-play. Int J Perform Anal Sport 21:820–830. https://doi.org/10.1080/24748668.2021.1947017
Siegle M, Bartels O, Lames M (2011) Spektrale Ermüdungsschätzung auf Basis von Positionsdaten im Fußball [Spectral fatigue estimation based on position data in football]. Dtsch Zeitschr Sportmed 62(7-8):237
Siegle M, Stevens T, Lames M (2013) Design of an accuracy study for position detection in football. J Sports Sci 31(2):166–172
Stelzer A, Pourvoyeur K, Fischer A (2004) Concept and application of LPM—A novel 3-D local position measurement system. IEEE Trans Microwave Theory Tech 52:2664–2669
Stevens T, de Ruiter C, van Niel C, van de Rhee R, Beek P, Savelsbergh G (2014) Measuring acceleration and deceleration in soccer-specific movements using a local position measurement (LPM) system. Int J Sports Physiol Perform 9(3):446–456
Varley M, Fairweather I, Aughey R (2012) Validity and reliability of GPS for measuring instantaneous velocity during acceleration, deceleration, and constant motion. J Sports Sci 30(2):121–127
Vickery W, Dascombe B, Baker J, Higham D, Spratford W, Duffield R (2014) Accuracy and reliability of GPS devices for measurement of sports-specific movement patterns related to cricket, tennis, and field-based team sports. J Strength Cond Res 28(6):1697–1705
Winkler, W. (1985). Fußball analysiert: Hamburger SV gegen Inter Mailand[Football analysed: Hamburger SV v Inter Mailand]. Fußballtraining, 3 (9/10), 22-25
Zubiaga AZ (2006) La actividad del jugador de fútbol en alta competición - análisis de variabilidad [Performance of top-level football players – analysis of variability]. Doctoral Thesis, University of Malaga
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Lames, M. (2023). Position Detection. In: Performance Analysis in Game Sports: Concepts and Methods. Springer, Cham. https://doi.org/10.1007/978-3-031-07250-5_3
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