디지털융복합연구 (Journal of Digital Convergence)

  • 제18권6호
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  • Pages.495-500
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  • 2020
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  • 2713-6434(pISSN)
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  • 2713-6442(eISSN)
한국디지털정책학회 (The Society of Digital Policy and Management)
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GPS를 활용한 여자 하키 선수들의 가속과 감속 분석

Analysis of acceleration and deceleration of female hockey players using GPS

  • Park, Jong-Chul (Department of Sport Science, Korea Institute of Sport Science) ;
  • Kim, Ji-Eung (Department of Physical Education, Sangmyung University) ;
  • Choi, Eun-Young (Department of Physical Education, Dankook University)
  • 투고 : 2020.05.04
  • 심사 : 2020.06.20
  • 발행 : 2020.06.28
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초록

본 연구는 여자하키 국가대표 선수를 대상으로 GPS를 활용하여 실제 경기에서 측정되는 가속과 감속의 정보를 정량화하여 포지션별로 분류하여 움직임의 차이를 확인하고자 하였다. 본 연구를 위하여 여자하키선수 16명을 대상으로 국제대회에서 측정된 308개의 가속과 감속 데이터를 수집하였다. 연구결과에 의하면 가속 빈도는 미드필드(MF) > 수비수(DF) > 공격수(FW) 순으로 나타났으며, 가속 이동거리는 미드필드 > 공격수 > 수비수 순서로 나타났다. 감속빈도는 미드필드 > 수비수 > 공격수 순으로 나타났으며, 감속 이동거리는 미드필드 > 공격수 > 수비수 순서로 나타났다. 본 연구결과를 바탕으로 하키 선수들의 운동 강도와 운동량 설정 시 기초자료로 활용 될 수 있다.

This study was intended to quantify the acceleration and deceleration information measured in the competition by using GPS device for the national women's field hockey players and to identify the difference in movement by classifying them by position. For this study, 308 acceleration and deceleration data were collected from 16 women's field hockey players measured at international competitions. According to research results, the frequency of acceleration was in the order of midfield > defender > striker, acceleration distance was midfield > striker > defender. The frequency of deceleration appeared in the order of midfield > defender > striker, deceleration distance was defender > striker > defender. Based on the results of this study, can be used as basic data when setting the strength and amount of training for field hockey players.

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참고문헌

  1. T. J. Gabbett, D. G. Jenkins, B. Abernethy. (2012). Physical demands of professional rugby league training and competition using microtechnology. Journal of science and medicine in sport, 15(1), 80-86. DOI : https://doi.org/10.1016/j.jsams.2011.07.004
  2. B. Dawson, R. Hopkinson, B. Appleby, G. Stewart & C. Roberts. (2004). Comparison of training activities and game demands in the Australian Football League. Journal of Science and Medicine in Sport, 7(3), 292-301. DOI : https://doi.org/10.1016/S1440-2440(04)80024-0.
  3. R. J. Aughey. (2010). Australian football player work rate: evidence of fatigue and pacing. International Journal of sports physiology and performance, 5(3), 394-405. DOI : https://doi.org/10.1123/ijspp.5.3.394.
  4. M. C. Varley & R. J. Aughey. (2013). Acceleration profiles in elite Australian soccer. Journal of sports medicine, 34(01), 34-39. DOI: 10.1055/s-0032-1331776.
  5. M. Spencer, S. Lawrence, C. Rechichi, D. Bishop, B. Dawson, C. Goodman. (2004). Time-motion analysis of elite field hockey, with special reference to repeated-sprint activity. Journal of sports sciences, 22(9), 843-850. DOI : https://doi.org/10.1080/02640410410001716715.
  6. G. Howatson & A. Milak. (2009). Exercise-induced muscle damage following a bout of sport specific repeated sprints. Journal of Strength & Conditioning Research, 23(8), 2419-2424. DOI : 10.1519/JSC.0b013e3181bac52e.
  7. H. K. Choi. (2018). The association between game-related running loads recorded using global positioning system and non-contact injuries of lower extremities and the development of an injury prediction model. Doctoral dissertation, Korea National Sport University, Seoul.
  8. J. E. Kim, J. H. Song, J. C. Park & E. Y. Choi. (2019). Performance analysis of women's field hockey using GPS. Journal of Digital Convergence. 17(10), 461-468. DOI : https://doi.org/10.14400/JDC.2019.17.10.461
  9. M. Hodun, R Clarke, M. B. D. S. Croix & J. D. Hughes (2016). Global positioning system analysis of running performance in female field sports: a review of the literature. Strength & Conditioning Journal, 38(2), 49-56. DOI : 10.1519/SSC.0000000000000200.
  10. S. J. Hong, H. J. Choi & Y. S. Jung (2014). A Comparative analysis of movement distances and intensity of movement in 2014 Brazil World Cup, The Korean Journal of Measurement and Evaluation in Physical Education and Sports Science, 16(2), 71-79. DOI : http://dx.doi.org/10.21797/ksme.2014.16.2.006
  11. H. D. Jeong (2018). An Exploration of movement performance characteristic by using GPS for soccer player. Master degree. Myongji University, Seoul.
  12. Y. S. Lee & Y. R. Kim. (2019). Comparative analysis of athletic performance of korea national football team by position and by 15-minute unit at the Asian Qualifier of the 2018 Russia world cup. The Korean Society of Sports Science, 27(1), 825-839. DOI : 10.35159/kjss.2018.02.27.1.825.
  13. Y. K. Kim & S. Hur. (2014). Analysis of Moving Distance During Games, Time and Heart Rate for Hockey Games Using GPS by Positions in Korea National Female Athletes. Korean Journal of Sport Science, 25(2), 354-363. DOI : 10.24985/kjss.2014.25.2.354
  14. S. K. Min, S. T. Lim, J. H. Song, H. S. Song & Y. S. Kim. (2015). The Analysis of Movement in Korean National Women's Field Hockey Players Regarding Positions Using Real-Time GPS Monitoring (2014 Incheon Asian Games preparation). Korean Journal of Sports Science, 26(3), 634-642. DOI : 10.24985/kjss.2015.26.3.634.
  15. P. S. Bradley, M. Di Mascio, D. Peart, P. Olsen & B. Sheldon. (2010). High-intensity activity profiles of elite soccer players at different performance levels. Journal of strength & conditioning research, 24(9), 2343-2351. DOI : 10.1519/JSC.0b013e3181aeb1b3.
  16. P. B. Gastin, S. L. Hunkin, B. Fahrner & S. Robertson. (2019). Deceleration, acceleration, and impacts are strong contributors to muscle damage in professional Australian football. The Journal of Strength & Conditioning Research, 33(12), 3374-3383. DOI : 10.1519/JSC.0000000000003023.
  17. A. Buglione, B. Ruscello, R. Milia, M. Migliaccio, G. Granatelli & S. D'Ottavio. (2013). Physical and Physiological demands of elite and sub-elite Field Hockey players. International Journal of Performance Analysis in Sport, 13(3), 872-884. DOI : https://doi.org/10.1080/24748668.2013.11868695.