평행좌표계(Parallel Coordinates)를 활용한 배드민턴 단식 경기 시각화 연구
A Study to Visualise Badminton Single Match Using the Parallel Coordinates
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참고문헌
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초록
본 연구는 평행좌표계(Parallel Coordinates)를 활용하여 배드민턴 단식 경기의 전체 랠리와 최종 5구에 대한 데이터를 시각화하고 분석 방안을 제시하는데 그 목적이 있다. 본 연구에서는 경기도 C대학의 L선수가 우승한 ‘2014년 전국 가을철 배드민턴 선수권 대회’의 결승전, 4강전, 8강전 총 3경기 영상을 사용하였고, Dartfish(Ver 8.0)의 Tagging 기능을 활용하여 셔틀콕 타구 방향과 최종 결정구의 판정, 사용 기술에 대한 데이터를 수집하였다. 수집된 데이터는 Excel 2013 프로그램을 이용하여 데이터 분류 및 정제를 하였으며, 데이터 시각화 도구로 D3js.org에서 무료 오픈 소스(Open Source)로 제공되는 Parallel Coordinates를 활용하였다. 그 결과 첫째, 배드민턴 단식 경기의 전체 랠리를 시각화하였고, 둘째, 최종 5구에 대한 데이터 시각화 분석 방안으로 경기 흐름 분석, 선수·기술별 공격 성공 코스 분석, 선수·기술별 공격 실패 코스 분석, 선수·기술별 복수 조건 선택 분석을 제시할 수 있었다. 향후 평행좌표계를 통한 시각화뿐만 아니라 수치화된 분석 정보도 함께 제공할 수 있는 방향으로 후속 연구가 진행된다면 다양한 종목으로 적용이 가능할 것이며 실제 스포츠 현장에서도 활용할 수 있을 것으로 기대된다.
Abstract
This study aims to visualize the data regarding the entire rally and the final 5 strokes in a badminton single match and to present its analysis method using the parallel coordinate system. For this study, were used the videos of three games of the final, semifinal, quarterfinal in the '2014 National Fall Badminton Championship’ where the L Player of Gyeonggi C university won championship. Herein, the data was collected utilizing a tagging technique of Dartfish (Ver 8.0), in terms of shuttlecock ball direction, judgment of final kill stroke, and used technique. The data collected were classified and condensed using Excel 2013 program, and the parallel coordinates, which is provided with free open source through D3js.org, was utilized as a data visualization tool. As the results; first, the entire rally of single matches in badminton was visualized; second, as an analysis method of data visualization in relation to final 5 strokes, game pattern analysis, attack success course analysis by players and techniques, attack failure course analysis by players and techniques, and a plurality of selected condition analysis by players and techniques could be presented. In future, when processing subsequent studies that can provide us together with numerically analyzed data as well as visualization through a parallel coordinate system, it is expected that this study could be applicable to a variety of events and utilized in the actual sports games.
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