Research on Movement Analysis and Guidance in Dance Learning Based on Data Mining

被引:1
|
作者
Yin, Guangle [1 ]
Liu, Jing [1 ]
机构
[1] Henan Polytech, Mus Acad, Zhengzhou 450046, Peoples R China
关键词
All Open Access; Gold; Green;
D O I
10.1155/2022/9327442
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
In dance, we must understand the essential meaning of dance movements from the inside and express them on the basis of dance. Therefore, in the process of developing new dance teaching methods, it is necessary to improve the basic education of dance students, so that they can express the emotions conveyed by dance through body language and movements, and improve dance expression ability. In this context, we made the research and reached the following conclusions: (1) the number of frames of different dance types is also different, and the number of frames to be learned is also increasing. The dance with the highest number of frames is Latin2, which has 3635 frames, and the dance with the highest number of frames that need to be learned is also Latin2, which requires 2519 frames to learn. (2) The data mining method is still the highest among the three methods, and the accuracy of the complete teaching method is 82%, which is the lowest among the three methods, and the accuracy of the decentralized teaching method is 87%. No matter in the test set or the mixed test set, the curve values of deep mining are very stable. First of all, human movements emphasize that in dance, the essential meaning of dance movements needs to be understood from the inside and expressed through the foundation of dance. Therefore, when developing new dance teaching methods, it is necessary to strengthen the basic dance training of students so that students can express the emotions conveyed by dance through body language and movements and improve their dance expression ability. We conduct research in this ecological environment. Different types of dance learning process using different frames, different types of dance in the algorithm transport have different recognition methods, using better and different algorithms can achieve the best performance. Both groups in the Hip Hop dance had a shorter average learning time than both groups in the Latin dance.
引用
收藏
页数:9
相关论文
共 50 条
  • [41] Research on real estate pricing methods based on data mining and machine learning
    Yu, Yanliang
    Lu, Jingfu
    Shen, Dan
    Chen, Binbing
    NEURAL COMPUTING & APPLICATIONS, 2021, 33 (09): : 3925 - 3937
  • [42] Research on real estate pricing methods based on data mining and machine learning
    Yanliang Yu
    Jingfu Lu
    Dan Shen
    Binbing Chen
    Neural Computing and Applications, 2021, 33 : 3925 - 3937
  • [43] Research on college English student individual learning based on data mining model
    Zhang, Fengjuan
    Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016), 2016, 67 : 247 - 250
  • [44] Research on Data Mining of Network Security Hazards Based on Machine Learning Algorithms
    Wu L.
    Yang C.
    Applied Mathematics and Nonlinear Sciences, 2024, 9 (01)
  • [45] Research on deep mining model of online learning data based on multiscale clustering
    Liu L.
    International Journal of Information and Communication Technology, 2023, 23 (03) : 215 - 230
  • [46] THE POTENTIAL OF MOVEMENT ANALYSIS AS A RESEARCH TOOL + THE DYNAMICS OF DANCE - A PRELIMINARY-ANALYSIS
    BARTENIEFF, I
    HACKNEY, P
    TRUEJONES, B
    VANZILE, J
    WOLZ, C
    DANCE RESEARCH JOURNAL, 1984, 16 (01) : 3 - 26
  • [47] A study of Distance Learning Pattern Analysis and Evaluation Based on Data Mining
    He Yueshun
    Du Ping
    2009 ASIA-PACIFIC CONFERENCE ON INFORMATION PROCESSING (APCIP 2009), VOL 1, PROCEEDINGS, 2009, : 291 - 293
  • [48] Analysis and Modelling Of English Learning Behaviour Based on Data Mining Technology
    Zhang, Jing
    JOURNAL OF ELECTRICAL SYSTEMS, 2024, 20 (06) : 316 - 322
  • [49] Analysis of College Students' Network Learning Behavior Based on Data Mining
    Fu, Qi
    Xie, Yu-fang
    Yin, Zhi-jian
    2015 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND TECHNOLOGY (ICCST 2015), 2015, : 41 - 45
  • [50] Communication Analysis and Privacy in CAI Based on Data Mining and Federated Learning
    Hu, Qian
    Jiang, Jiatao
    Lin, Weiping
    APPLIED SCIENCES-BASEL, 2023, 13 (09):