Coordination of human movements resulting in motor strategies exploited by skilled players during a throwing task
Autoři:
Bao Nguyen Tran aff001; Shiro Yano aff001; Toshiyuki Kondo aff001
Působiště autorů:
Department of Computer and Information Sciences, Tokyo University of Agriculture and Technology, Koganei, Tokyo, Japan
aff001
Vyšlo v časopise:
PLoS ONE 14(10)
Kategorie:
Research Article
doi:
https://doi.org/10.1371/journal.pone.0223837
Souhrn
In this study, we investigated the underlying mechanisms of a motor system that affects skills and strategies of expert dart throwers. Eight experts participated in our experiment and each subject performed 42 throws. Kinematics of the shoulder, elbow, wrist, and dart were recorded by six high-speed cameras (200 Hz). The vertical error curve over time was calculated based on both hand and dart trajectories to clarify their relationship and interaction, which could attribute to their skills. Moreover, the kinematics of the dart (speed and direction) and angular kinematics of the elbow and wrist at the time of release were investigated to elucidate which parameters constitute the throwing strategies of experts. Experimental results showed that expert’s throwing can be classified into two strategies, i.e., reducing timing sensitivity and reducing timing error. These strategies were derived from the spatial and temporal controls of the hand trajectory. Moreover, we confirmed that the speed of the dart and angular acceleration of the wrist joint at the time of release were highly correlated with the time-window for successful release. These results imply that the two strategies are characterized not only by a spatiotemporal relationship between the hand and dart trajectories, but also by relationships with release kinematic parameters of the proximal joint and the dart. Understanding characteristics which lead to strategies of skilled throwers would provide effective training methodology for beginners.
Klíčová slova:
Acceleration – Kinematics – Skeletal joints – Thumbs – Peak values
Zdroje
1. Wolfe SW, Crisco JJ, Orr CM, Marzke MW. The dart-throwing motion of the wrist: is it unique to humans? J Hand Surg Am. 2006;31:1429–37. doi: 10.1016/j.jhsa.2006.08.010 17095370
2. Moritomo H, Apergis EP, Herzberg G, Werner FW, Wolfe SW, Garcia-Elias M. IFSSH committee report of wrist biomechanics committee: biomechanics of the so-called dart-throwing motion of the wrist. J Hand Surg. 2007;32(9):1447–1453.
3. Feehan L, Fraser T. Dart-throwing motion with a twist orthoses: Design, fabrication, and clinical tips. Journal of Hand Therapy. 2016;29: 205–212. doi: 10.1016/j.jht.2015.12.009 27264905
4. Vardakastani V, Bell H, Mee S, Brigstocke G. Clinical measurement of the dart throwing motion of the wrist: variability, accuracy and correction. J Hand Surg Eur. 2018;43: 723–731.
5. Szymanski DJ, Szymanski JM, Molloy JM, Pascoe DD. Effect of 12 weeks of wrist and forearm training on high school baseball players. J Strength Cond Res. 2004;18(3):432–440. doi: 10.1519/13703.1 15320673
6. Lee J, Kim T, Lim K. Effects of eccentric control exercise for wrist extensor and shoulder stabilization exercise on the pain and functions of tennis elbow. J Phys Ther Sci. 2018;30:590–594. doi: 10.1589/jpts.30.590 29706713
7. Hore J, Watts S, Tweed D, Miller B. Overarm throws with the nondominant arm: kinematics of accuracy. J Neurophysiol. 1996;76: 3693–3704. doi: 10.1152/jn.1996.76.6.3693 8985867
8. Hore J, Watts S, Tweed D. Errors in the control of joint rotations associated with inaccuracies in overarm throws. J Neurophysiol. 1996;75: 1013–1025. doi: 10.1152/jn.1996.75.3.1013 8867114
9. Verhoeven F, Newell K. Coordination and control of posture and ball release in basketball free-throw shooting. Human Movement Science. 2016;49: 216–224. doi: 10.1016/j.humov.2016.07.007 27442763
10. Chow J, Kuenster A, Young-tae L. Kinematic analysis of javelin throw performed by wheelchair athletes of different functional classes. Journal of Sports Science and Medicine. 2003;2: 36–46. 24616609
11. Toffan A, Alexander M, Peeler J. Comparison of the technique of the football quarterback pass between high school and university athletes. J. Strength Cond. Res. 2018; 32:2474–97. doi: 10.1519/JSC.0000000000002068 28759540
12. Bernstein N. The co-ordination and regulation of movements. Oxford, New York, Pergamon Press. 1967.
13. Button C, Macleod M, Sanders R, Coleman S. Examining movement variability in the basketball free-throw action at different skill levels. Res. Q. Exerc. Sport. 2003;74: 257–269 doi: 10.1080/02701367.2003.10609090 14510290
14. Bartlett R, Müller E, Lindinger S, Brunner F, Morriss C. Three-dimensional evaluation of the kinematic release parameters for javelin throwers of different skill levels. Journal of Applied Biomechanics. 1996;12: 58–71.
15. Hore J, Watts S. Skilled throwers use physics to time ball release to the nearest millisecond. J Neurophysiol. 2011;106: 2024–2033. doi: 10.1152/jn.00059.2011 21775713
16. Sayers M. Kinematic analysis of line-out throwing in elite international rugby union. J. Sports Sci. Med. 2011;10: 553–558.
17. Reina R, Domínguez-Díez M, Urbán T, Roldán A. Throwing distance constraints regarding kinematics and accuracy in high-level boccia players. Science & Sports. 2018;33: 299–306.
18. Kudo K, Tsutsui S, Ishikura T, Ito T, Yamamoto Y. Compensatory coordination of release parameters in a throwing task. J Mot Behav. 2000;32: 337–345. doi: 10.1080/00222890009601384 11114227
19. Smeets J, Frens M, Brenner E. Throwing darts: timing is not the limiting factor. Exp Brain Res. 2002;144: 268–274. doi: 10.1007/s00221-002-1072-2 12012165
20. Cohen R, Sternad D. State space analysis of timing: exploiting task redundancy to reduce sensitivity to timing. J Neurophysiol. 2012;107: 618–627. doi: 10.1152/jn.00568.2011 22031769
21. Nasu D, Matsuo T, Kadota K. Two Types of Motor Strategy for Accurate Dart Throwing. PLoS ONE. 2014;9(2): e88536. doi: 10.1371/journal.pone.0088536 24533102
22. Sternad D, Abe M, Hu X, Müller H. Neuromotor noise, error tolerance and velocity-dependent costs in skilled performance. PLoS Comput Biol. 2011;7:e1002159. doi: 10.1371/journal.pcbi.1002159 21966262
23. Oldfield RC.The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia. 1971;9(1), 97–113. doi: 10.1016/0028-3932(71)90067-4 5146491
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