Comparison of Trajectories and Quaternions of Folk Dance Movements Using Dynamic Time Warping

被引:7
|
作者
Kico, Iris [1 ]
Liarokapis, Fotis [1 ]
机构
[1] Masaryk Univ, HCI Lab, Fac Informat, Brno, Czech Republic
关键词
motion capture; human motion; folk dances; dynamic time warping;
D O I
10.1109/vs-games.2019.8864604
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Analysis and comparison of human motion are very important for games and virtual reality. In the case of dances, teacher's or professional performance is considered as the ground truth. To provide feedback to the learner, learner's movements are compared to the teacher's movements. Recording human motion using optical motion capture system is often considered as gold standard. In this paper, the problem of getting ground truth data has been analyzed. Professional dancers, male and female, were recorded performing folk dances, alone and with a partner using an optical motion capture system. Two cases for dancing in pair, one person was wearing the suit with passive markers, and both were wearing suits. Three-dimensional marker trajectories and quaternions were compared using dynamic time warping and multidimensional dynamic time warping. Initial results show that dances performed in pair are the most similar and could be used in the applications for learning purposes.
引用
收藏
页码:226 / 229
页数:4
相关论文
共 50 条
  • [41] Speech recognition using Dynamic Time Warping (DTW)
    Permanasari, Yurika
    Harahap, Erwin H.
    Ali, Erwin Prayoga
    [J]. 2ND INTERNATIONAL CONFERENCE ON APPLIED & INDUSTRIAL MATHEMATICS AND STATISTICS, 2019, 1366
  • [42] Supervision of bioprocesses using a dynamic time warping algorithm
    Gollmer, K
    Posten, C
    [J]. CONTROL ENGINEERING PRACTICE, 1996, 4 (09) : 1287 - 1295
  • [43] QUERY BY HUMMING BY USING SCALED DYNAMIC TIME WARPING
    Kim, Yunji
    Park, Cheong Hee
    [J]. 2013 INTERNATIONAL CONFERENCE ON SIGNAL-IMAGE TECHNOLOGY & INTERNET-BASED SYSTEMS (SITIS), 2013, : 1 - 5
  • [44] Classification of surgical processes using dynamic time warping
    Forestier, Germain
    Lalys, Florent
    Riffaud, Laurent
    Trelhu, Brivael
    Jannin, Pierre
    [J]. JOURNAL OF BIOMEDICAL INFORMATICS, 2012, 45 (02) : 255 - 264
  • [45] On using dynamic programming for time warping in pattern recognition
    Mizutani, Eiji
    Dreyfus, Stuart
    [J]. INFORMATION SCIENCES, 2021, 580 : 684 - 704
  • [46] Classification of genomic signals using dynamic time warping
    Skutkova, Helena
    Vitek, Martin
    Babula, Petr
    Kizek, Rene
    Provaznik, Ivo
    [J]. BMC BIOINFORMATICS, 2013, 14
  • [47] Comparing temporal graphs using dynamic time warping
    Vincent Froese
    Brijnesh Jain
    Rolf Niedermeier
    Malte Renken
    [J]. Social Network Analysis and Mining, 2020, 10
  • [48] Comparing Temporal Graphs Using Dynamic Time Warping
    Froese, Vincent
    Jain, Brijnesh
    Niedermeier, Rolf
    Renken, Malte
    [J]. COMPLEX NETWORKS AND THEIR APPLICATIONS VIII, VOL 2, 2020, 882 : 469 - 480
  • [49] Classification of genomic signals using dynamic time warping
    Helena Skutkova
    Martin Vitek
    Petr Babula
    Rene Kizek
    Ivo Provaznik
    [J]. BMC Bioinformatics, 14
  • [50] Keystroke Dynamics for Authentication Using Dynamic Time Warping
    Pramana, Made Indra Wira
    Suhardi
    Kurniawan, Novianto Budi
    Sembiring, Jaka
    [J]. PROCEEDINGS OF 2017 14TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER SCIENCE AND SOFTWARE ENGINEERING (JCSSE), 2017,