TIME MOTION AND PERFORMANCE ANALYSIS IN TANGO DANCE

被引:0
作者
Premelc, Jerneja [1 ]
机构
[1] Univ Ljubljana, Fac Sport, Ljubljana, Slovenia
来源
KINESIOLOGIA SLOVENICA | 2022年 / 28卷 / 01期
关键词
DanceSport; tango; performance analysis; aesthetic sports;
D O I
暂无
中图分类号
G8 [体育];
学科分类号
04 ; 0403 ;
摘要
The aim of this study was to investigate the movement and choreography characteristics between four different quality groups in tango. Thirty-five dance couples competing in an international competition in the adult category were selected for analysis. The total time and average speed in each direction of movement and the number of changes of direction were compared between four different quality groups. The average speed of the movement and choreography path was 1.14 +/- 5.1 m/s and 77.56 +/- 11.1 in. respectively. Dancers mostly danced in line of dance (LOD) (M = 10.74 +/- 5.2 s), diagonal to the center (DC) (M = 9.96 +/- 4.5 s), and diagonal to the wall (DW) (M = 8 +/- 3.1s). Although no significant differences were found, the time spent dancing in LOD decreased with the more successful quality group. Significant differences between the quality groups were found in the speed of movement in LOD direction (chi(2) = 9.4, df = 3, p = 0.024). which decreased with the more successful quality group. Dancers made an average of 26.31 +/- 3.4 changes in direction. Statistical differences were found between the quality groups (chi(2) = 7.7, df = 3 , p = 0.04). This is the first detailed study in tango analyzing the characteristics of movement and choreography. The quality groups differ in the speed of movement in some directions of movement and in the number of changes of direction. The results presented can help choreographers and coaches to adequately design the physical preparation of the dancers, the structure of the choreography and the technical and tactical requirements.
引用
收藏
页码:48 / 59
页数:12
相关论文
共 21 条
  • [1] Angioi M., 2007, MED SCI SPORT EXER, V24, P66
  • [2] Style-based motion analysis for dance composition
    Aristidou, Andreas
    Stavrakis, Efstathios
    Papaefthimiou, Margarita
    Papagiannakis, George
    Chrysanthou, Yiorgos
    [J]. VISUAL COMPUTER, 2018, 34 (12) : 1725 - 1737
  • [3] Emotion Analysis and Classification: Understanding the Performers' Emotions Using the LMA Entities
    Aristidou, Andreas
    Charalambous, Panayiotis
    Chrysanthou, Yiorgos
    [J]. COMPUTER GRAPHICS FORUM, 2015, 34 (06) : 262 - 276
  • [4] Folk Dance Evaluation Using Laban Movement Analysis
    Aristidou, Andreas
    Stavrakis, Efstathios
    Charalambous, Panayiotis
    Chrysanthou, Yiorgos
    Himona, Stephania Loizidou
    [J]. ACM JOURNAL ON COMPUTING AND CULTURAL HERITAGE, 2015, 8 (04):
  • [5] Dance Posture/Steps Classification using 3D Joints from the Kinect Sensors
    Bakalos, Nikolaos
    Protopapadakis, Eftychios
    Doulamis, Anastasios
    Doulamis, Nikolaos
    [J]. 2018 16TH IEEE INT CONF ON DEPENDABLE, AUTONOM AND SECURE COMP, 16TH IEEE INT CONF ON PERVAS INTELLIGENCE AND COMP, 4TH IEEE INT CONF ON BIG DATA INTELLIGENCE AND COMP, 3RD IEEE CYBER SCI AND TECHNOL CONGRESS (DASC/PICOM/DATACOM/CYBERSCITECH), 2018, : 868 - 873
  • [6] Howard G., 1976, Technique of ballroom dancing
  • [7] Hurley A., 2012, FLOOR CRAFT LOST ART
  • [8] Kitsikidis A, 2014, PROCEEDINGS OF THE 2014 9TH INTERNATIONAL CONFERENCE ON COMPUTER VISION, THEORY AND APPLICATIONS (VISAPP 2014), VOL 2, P789
  • [9] Closed-world tracking of multiple interacting targets for indoor-sports applications
    Kristan, Matej
    Pers, Janez
    Perse, Matej
    Kovacic, Stanislav
    [J]. COMPUTER VISION AND IMAGE UNDERSTANDING, 2009, 113 (05) : 598 - 611
  • [10] Laird W., 2009, LAIRD TECHNIQUE LATI