연관성 규칙을 적용한 태권도 선수들의코트 위치별 득점 패턴 분석
Analyzing Scoring Patterns of TaekwondoPlayers by Court Position Using Association Rules
0
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
본 연구에서는 연관성 규칙을 적용한 태권도 선수들의 코트 위치별 득점 패턴을 확인하는 데 있다. 세계태권도선수권대회 여자부 경기를 수집하여 연구자료로 활용하였으며, 수집된 경기자료는 경량급 151경기, 중량급은 121경기 총 272경기이다. 경기 내용 변인은 코트위치, 공격형태, 공격부위, 경기자세, 기술에 따른 득점 변인을 활용하였으며, 자료처리는 기술통계, 연관규칙 방법을 적용하였다. 이때 통계프로그램은 Excel과 Phyton을 활용하였다. 첫째, 여자부 태권도 선수들의 경기 내용에 따른 득점 빈도에서 코트 위치에서는 코트중앙운영, 공격형태에서는 선제공격, 공격부위에서는 몸통이 높은 빈도로 나타났다. 경기자세에서는 맞서기, 기술에서는 돌려차기 기술이 가장 높은 빈도로 나타났다. 둘째, 경량급에서 코트중앙운영에 따른 득점 패턴은 맞서기, 몸통, 주먹, 코트점유운영에서는 내려차기, 얼굴, 선제공격, 코트외각운영에서는 몸통, 역습공격, 엇서기가 가장 높게 나타났다. 반면 중량급에서 코트중앙운영에서는 맞서기, 몸통, 선제공격, 코트점유 운영에서는 붙어있는 경우, 얼굴, 선제공격, 코트외각운영에서는 몸통, 역습공격, 엇서기 패턴이 가장 높게 나타났다본 연구에서 분석된 정보는 세계여자부 선수들이 코트 위치별 득점을 수행하기 위한 정보뿐만 아니라 국내 선수들이 득점을 위한 기초자료로 활용되기를 기대한다.
Abstract
Taekwondo is a worldwide sport with several tournaments played throughout the year. However, there is a lack of studies demonstrating the scoring patterns of Taekwondo players. Women's World Taekwondo Championships matches were collected and used as research data, including 272 matches (151 matches in the lightweight class and 121 matches in the heavyweight class). The variables of match content were court position, attack form, attack area, player posture, and scoring variables according to the technique. Data processing was performed by applying descriptive statistics and association rule methods. Excel and Python were used as the statistical programs. Women’s Taekwondo players' scoring frequency was high for court positions, central court operations, preemptive attacks, and torso attacks according to the content of the game. The most frequent patterns in the lightweight class according to the center of the court operation were confrontation, body, and fist; in the court occupation operation, they were downward kick, face, and preemptive attack; and outside the court operation, they were body, counterattack, and standing. In contrast, the most common scoring patterns in the heavyweight division included confrontation, body, and preemptive strikes in the center of the court, and stuck, face, preemptive strikes, body, counterattack, and standing at the perimeter of the court. It is hoped that the information analyzed in this study will be used by world and domestic women's players to perform scoring by court position.
참고문헌 (20)
- Choi, C. H., "Analysis of Futsal Attack Pattern using Network Theory", Journal of The Korean Data Analysis Society, 20(4), pp.1973~1988 (2018)
- Choi, W. Y., "An Analysis of Taekwondo Match Attack Pattern", Korean Journal of Sport Science, 20(4), pp.767~777 (2009)
- Clemente, F. M., "General network analysis of national soccer teams in FIFA World Cup 2014", International Journal of Performance Analysis in Sport, 15(1), pp.80~96 (2015)
- Falco, C., "Match analysis in a university Taekwondo championship", Advances in Physical Education, 2(1), pp.28~31 (2012)
- Han, J., "Data mining: concepts and techniques" (2000), Morgan Kaufmann Publishers Inc
- Jeon, M., "Analysis of point deduction patterns in Taekwondo using association rule learning", International Journal of Performance Analysis in Sport, 19(3), pp.323~330 (2019)
- Jeon, M. S., "The scoring patterns depending on match conditions of world-class Taekwondo athletes : application of association rules", Archive of Budo, 15, pp.113~120 (2019)
- Jeong, K. H., "The Performance Forming Factors of the National Taekwondo Team Athletes", Korean Journal of Physical Education, 43(5), pp.475~484 (2004)
- Jung, G. C., "Notational Analysis of Game Tactics in Taekwondo", The Journal of Korean Alliance of Martial Arts, 12(3), pp.89~100 (2010)
- Jung, Y. B., "Keyword Analysis of Two SCI Journals on Rock Engineering by using Text Mining", Tunnel & Underground Space, 25(4), pp.303~319 (2015)
- Kazemi, M., "A profile of Olympic Taekwondo competitors", Journal of Sports Science & Medicine, 5(CSSI), pp.114~ (2006)
- Kim, D. H., "The Enhancement of Taekwondo Competition Performance by Analyzing between Korean and foreign Athletes in the Liu Olympic", Sport Science, 36(2), pp.117~124 (2019)
- Kim, K. D., "Analysis of Competition Management Ability of the 2019 World Taekwondo Championships", Journal of Martial Arts, 15(1), pp.179~197 (2019)
- Kim, S. J., "Analysis on the Main Pattern of Victory and Defeat related to Athletic Performance in Korean Basketball League 2000~2009", The Korean Society of Sports Science, 20(3), pp.1665~1675 (2011)
- Liao, S. H., "Artificial neural networks classification and clustering of methodologies and applications–literature analysis from 1995 to 2005", Expert Systems with Applications, 32(1), pp.1~11 (2007)
- Nicholas, C. W., "The Loughborough Intermittent Shuttle Test : a field test that simulates the activity pattern of soccer", Journal of Sports Sciences, 18(2), pp.97~104 (2000)
- Park, M. H., "Analysis of Game Strategy and Scoring Pattern for Junior Badminton Athletes of 3 Countries Including Republic of Korea, China and Japan", Journal of Sport and Leisure Studies, 36(2), pp.935~941 (2009)
- "Sports video analysis for player strength and weakness psychiatry in the context of object-relational data bases" (2009)[URL]
- Westphal, C., "Data mining solutions: methods and tools for solving real-world problems" (1998), John Wiley & Sons, Inc
- Zhang, S., "Performance profiles and opposition interaction during game-play in elite basketball : evidences from National Basketball Association", International Journal of Performance Analysis in Sport, 19(1), pp.28~48 (2019)