Abstract
This article discusses the main substantive issues surrounding performance analysis and considers future directions in this recently formed sub-discipline of sport science. It is argued that it is insufficient to bring together sport biomechanics and notational analysis on the basis that they share a number of commonalities, such as they both aim to enhance performance, they both make extensive use of information and communications technology, and both are concerned with producing valid and reliable data. Rather, it is suggested that the common factor linking sport biomechanics and notational analysis is that they can both be used to measure and describe the same phenomenon (i.e. emergent pattern formation) at different scales of analysis (e.g. intra-limb, inter-limb and torso, and inter-personal). Key concepts from dynamical system theory, such as self-organization and constraints, can then be used to explain stability, variability and transitions among coordinative states. By adopting a constraints-based approach, performance analysis could be effectively opened up to sport scientists from other sub-disciplines of sport science, such as sport physiology and psychology, rather than solely being the preserve of sport biomechanists and notational analysts. To conclude, consideration is given to how a more unified approach, based on the tenets of dynamical systems theory, could impact on the future of performance analysis.
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References
Hughes M, Bartlett R. What is performance analysis? In: Hughes M, Franks IM, editors. The essentials of performance analysis: an introduction. London: Routledge, 2008: 8–20
Bartlett R. Performance analysis: can bringing together biomechanics and notational analysis benefit coaches? Int J Perform Anal Sport 2001; 1: 122–6
Bartlett R. Performance analysis: is it the bringing together of biomechanics and notational analysis or an illusion? In: Blackwell JR, editor. Proceedings of oral sessions: XIX International Symposium on Biomechanics in Sports; 2001 Jun 20-26; San Francisco (CA). San Francisco (CA): University of San Francisco, 2001: 328–31
Glazier PS, Davids K, Bartlett RM. Dynamical systems theory: a relevant framework for performance-orientedsports biomechanics research. Sportscience 7 [online]. Available from URL: http://www.sportsci.org/jour/03/psg.htm [Accessed 2009 Sep 1]
Glazier PS, Wheat JS, Pease DL, et al. The interface of biomechanics and motor control: dynamic systems theoryand the functional role ofmovement variability. In: Davids K, Bennett SJ, Newell KM, editors. Movement system variability. Champaign (IL): Human Kinetics, 2006: 49–69
Gréhaigne J-F, Bouthier D, David B. Dynamic-system analysis of opponent relationships in collective actions in soccer. J Sports Sci 1997; 15: 137–49
McGarry T, Anderson DI, Wallace SA, et al. Sport competition as a dynamical self-organizing system. J Sports Sci 2002; 20: 771–81
Hughes MD. Performance analysis — a 2004 perspective. Int J Perform Anal Sport 2004; 4: 103–9
Hughes MD, Bartlett RM. Performance analysis. J Sports Sci 2002; 20: 735–37
Hughes MD, Bartlett RM. The use of performance indicators in performance analysis. J Sports Sci 2002; 20: 739–54
Coyle EF. Physiological determinants of endurance exercise performance. J Sci Med Sport 1999; 2: 181–9
Bassett DR, Howley ET. Limiting factors for maximum oxygen uptake and determinants of endurance performance. Med Sci Sports Exerc 2000; 32: 70–84
Landers DM, Arent SM. Arousal-performance relationships. In: Williams JM, editor. Applied sport psychology:personal growth to peak performance. 4th ed. MountainView (CA): Mayfield, 2001: 206–28
Arent SM, Landers DM. Arousal, anxiety, and performance: a re-examination of the inverted-U hypothesis. ResQ Exerc Sport 2003; 74: 436–44
Lees A. Technique analysis in sports: a critical review. J Sports Sci 2002; 20: 813–28
Morriss C, Bartlett R. Biomechanical factors critical for the performance in the men’s javelin throw. Sports Med 1996; 21: 438–46
Hay JG, Reid JG. Anatomy, mechanics, and human motion. 2nd ed. Englewood Cliffs (NJ): Prentice Hall, 1988
Newell KM. Constraints on the development of coordination. In: Wade MG, Whiting HTA, editors. Motor development in children: aspects of coordination and control. Dordrecht: Martinus Nijhoff, 1986: 341–60
Scholz JP, Schöner G, Latash ML. Identifying the control structure of multijoint coordination during pistol shooting. Exp Brain Res 2000; 135: 382–404
McGarry T. Applied and theoretical perspectives of performance analysis in sport: scientific issues and challenges. IntJ Perform Anal Sport 2009; 9: 128–40
Davids K, Lees A, Burwitz L. Understanding and measuring coordination and control in kicking skills in soccer implications for talent identification and skill acquisition. J Sports Sci 2000; 18: 703–14
Newell KM. On task and theory specificity. J Mot Behav 1989; 21: 92–6
Newell KM, Morrison S. Frames of reference and normal movement. Behav Brain Sci 1996; 19: 83–4
Newell KM. Change in movement and skill: learning, retention, and transfer. In: Latash ML, Turvey MT, editors. Dexterity and its development. Mahwah (NJ): Erlbaum, 1996: 393–429
Winter DA. Kinematic and kinetic patterns in human gait: variability and compensating effects. Hum Mov Sci 1984; 3: 51–76
Sparrow WA. Measuring changes in coordination and control. In: Summers JJ, editor. Approaches to the study of motor control and learning. Amsterdam: Elsevier, 1992: 147–62
Hatze H. The extended transentropy function as a useful quantifier of human motion variability. Med Sci Sports Exerc 1995; 27: 751–9
Sidaway B, Heise G, Schoenfelder-Zohdi B. Quantifying the variability of angle-angle plots. J Hum Mov Stud 1995; 29: 181–97
Mullineaux DR, Bartlett RM, Bennett SJ. Research design and statistics in biomechanics and motor control. J Sports Sci 2001; 19: 739–60
Wheat JS, Glazier PS. Measuring coordination and variability in coordination. In: Davids K, Bennett SJ, Newell KM, editors. Movement system variability. Champaign (IL): Human Kinetics, 2006: 167–81
Baumann W. Biomechanics of sports — current problems. In: Bergmann G, Kolbel R, Rohlmann A, editors. Biomechanics: basic and applied research. Dordrecht: Martinus Nijhoff, 1987: 51–8
Norman RW. A barrier to understanding human motion mechanisms: a commentary. In: Skinner JS, Corbin CB, Landers DM, et al., editors. Future directions in exercise and sport science research. Champaign (IL): Human Kinetics, 1989: 151–61
Winter DA. Future directions in biomechanics research of human movement. In: Skinner JS, Corbin CB, Landers DM,et al., editors. Future directions in exercise and sport science research. Champaign (IL): Human Kinetics, 1989: 201–7
Hatze H. Biomechanics of sports: selected examples of successful applications and future perspectives. In: Riehle HJ, Vieten MM, editors. Proceedings of the XVIth International Symposium on Biomechanics in Sports; 1998 Jul 21-25. Konstanz: University of Konstanz, 1998: 2–22
Hay JG, Vaughan CL, Woodworth GG. Technique and performance: identifying the limiting factors. In: Morecki A, Fidelus K, Wit A, editors. Biomechanics VII-B. Baltimore (MD): University Park Press, 1981: 511–20
Zatsiorsky VM. Kinetics of human motion. Champaign (IL): Human Kinetics, 2002
van Ingen Schenau GJ. From rotation to translation: constraints on multi-joint movements and the unique action of bi-articular muscles. Hum Mov Sci 1989; 8: 301–37
Sparrow WA, Sherman C. Visual expertise in the perception of action. Exerc Sport Sci Rev 2001; 29: 124–8
Haken H, Wunderlin A. Synergetics and its paradigm of self organization in biological systems. In: Whiting HTA, Meijer OG, van Wieringen PCW, editors. The natural physical approach to movement control. Amsterdam: Free University Press, 1990: 1–36
McGarry T, Franks IM. System approach to games and competitive playing: reply to Lebed (2006). Eur J Sport Sci 2007; 7: 47–53
Weinburg RS. Anxiety and motor performance: where to from here? Anxiety Res 1990; 2: 227–42
Rodacki ALF, Fowler NE, Bennett SJ. Multi-segment coordination: fatigue effects. Med Sci Sports Exerc 2001; 33: 1157–67
Kugler PN, Turvey MT. Information, natural law, and the self-assembly of rhythmic movement. Hillsdale (NJ): Lawrence Erlbaum Associates, 1987
Thelen E, Smith LB. A dynamic systems approach to the development of cognition and action. Cambridge (MA): MIT Press, 1994
Wallace SA. Dynamic pattern perspective of rhythmic movement: an introduction. In: Zelaznik HN, editor. Advancesin motor learning and control. Champaign (IL): Human Kinetics, 1996: 155–94
Kugler PN. A morphological perspective on the origin and evolution of movement patterns. In: Wade MG, Whiting HTA, editors. Motor development in children: aspects of coordination and control. Dordrecht: Martinus Nijhoff, 1986: 459–525
Kaufmann SA. The origins of order: self-organization and selection in evolution. New York: Oxford University Press, 1993
Clark JE. On becoming skillful: patterns and constraints. Res Q Exerc Sport 1995; 66: 173–83
Kelso JAS, Schöner G. Self-organization of coordinative movement patterns. Hum Mov Sci 1988; 7: 27–46
Beek PJ, Peper CE, Stegeman DF. Dynamical models of movement coordination. Hum Mov Sci 1995; 14: 573–608
Kelso JAS. Dynamic patterns: the self-organization of brain and behavior. Cambridge (MA): MIT Press, 1995
Kay B. The dimensionality of movement trajectories and the degrees of freedom problem: a tutorial. Hum Mov Sci 1988; 7: 343–64
Latash ML, Scholz JP, Schöner G. Motor control strategies revealed in the structure of motor variability. Exerc Sport Sci Rev 2002; 30: 26–31
Kelso JAS, Schöner G, Scholz JP, et al. Nonequilibrium phase transitions in coordinated movements involving many degrees of freedom. Ann N Y Acad Sci 1987; 504: 293–96
Schöner G, Kelso JAS. A synergetic theory of environmentally-specified and learned patterns of movement coordination: I. Relative phase dynamics. Biol Cyber 1988; 58: 71–80
Haken H. Synergetics: an introduction. Non-equilibrium phase transitions and self-organization in physics, chemistry and biology. 3rd ed. Berlin: Springer, 1983
Michaels C, Beek P. The state of ecological psychology. Ecol Psych 1995; 7: 259–78
Summers JJ. Has ecological psychology delivered what it promised? In: Summers JJ, editor. Motor behavior and human skill: a multidisciplinary approach. Champaign(IL): Human Kinetics, 1998: 385–402
Kelso JAS. Phase transitions and critical behaviour in human bimanual coordination. Am J Physiol Regul Integr Comp Physiol 1984; 246: R1000–4
Haken H, Kelso JAS, Bunz H. A theoretical model of phase transitions in human hand movements. Biol Cyber 1985; 51: 347–56
Kelso JAS, Buchanan JJ, Wallace SA. Order parameters for the neural organization of single, multijoint limb movement patterns. Exp Brain Res 1991; 85: 432–44
Kelso JAS, Jeka JJ. Symmetry breaking dynamics of human multilimb coordination. J Exp Psychol Hum Perc Perform 1992; 18: 645–68
Schmidt RC, Carello C, Turvey MT. Phase transitions and critical fluctuations in the visual coordination of rhythmic movements between people. J Exp Psychol Hum Perc Perform 1990; 16: 227–47
Schmidt RC, O’Brien B, Sysko R. Self-organization of between-persons cooperative tasks and possible applications to sport. Int J Sport Psychol 1999; 30: 558–79
Hopkins W. Sport performance at the Oslo Conference of the European College of Sport Science. Sportscience 2009; 13: 28–32 [online]. Available from URL: http://www.sportsci.org/2009/wghECSS.htm [Accessed 2009 Sep 1]
Araújo D, Davids K, Bennett SJ, et al. Emergence of sport skills under constraints. In: Williams AM, Hodges NJ, editors. Skill acquisition in sport research, theory andpractice. London: Routledge, 2004: 409–33
Davids K, Button C, Bennett S. Dynamics of skill acquisition: a constraints-led approach. Champaign (IL): HumanKinetics, 2008
Davids K, Araújo D, Shuttleworth R, et al. Acquiring skill in sport: a constraints-led perspective. Int J Comp Sci Sport 2003; 2: 31–9
Handford C, Davids K, Bennett S, et al. Skill acquisition in sport: some applications of an evolving practice ecology. J Sport Sci 1997; 15: 621–40
Passos P, Araújo D, Davids K, et al. Interpersonal dynamics in sport: the role of artificial neural networks and 3-Danalysis. Behav Res Meth 2006; 38: 683–91
Barris S, Button C. A review of vision-based motion analysis in sport. Sports Med 2008; 38: 1025–43
Seifert L, Chollet D, Rouard A. Swimming constraints and arm coordination. Hum Mov Sci 2007; 26: 68–86
Davids K, Bennett S, Handford C, et al. Acquiring coordination in self-paced extrinsic timing tasks: a constraints led perspective. Int J Sport Psychol 1999; 30: 437–61
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Glazier, P.S. Game, Set and Match? Substantive Issues and Future Directions in Performance Analysis. Sports Med 40, 625–634 (2010). https://doi.org/10.2165/11534970-000000000-00000
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DOI: https://doi.org/10.2165/11534970-000000000-00000