Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022)

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Dance Movement Recognition Based on Gesture

Authors
Ping Lei1, Nana LI2, *, Haidong Liu1
1School of Physical Education, Chengdu Normal University, Chengdu, 611130, Sichuan, China
2School of Physical Education, Henan Polytechnic University, Jiaozuo, 454003, Henan, China
*Corresponding author. Email: gzyyxlnn@126.com
Corresponding Author
Nana LI
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-058-9_73How to use a DOI?
Keywords
PAFs algorithm; human pose estimation; LSTM time series
Abstract

Aiming at the low accuracy of traditional dance movement recognition methods, a movement recognition algorithm based on human posture estimation is proposed. Firstly, PAFs algorithm is adopted to recognize the spatial skeleton nodes of the human body model and the connection of human body joints, thus the human movement skeleton is obtained. According to the movement skeleton, the human body posture can be estimated. After the posture information is preprocessed and features are extracted, LSTM time series algorithm is used to classify and recognize the dance movements. The results show that the algorithm can clearly identify the dance movement skeleton nodes. For different movement categories, the recognition accuracy and recall rate of different movement categories are above 85%, and the recognition accuracy of curtsey movement is up to 95.2%. It can be seen that the recognition accuracy of this algorithm is significantly improved and different dance movement categories can be accurately recognized.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022)
Series
Advances in Computer Science Research
Publication Date
27 December 2022
ISBN
978-94-6463-058-9
ISSN
2352-538X
DOI
10.2991/978-94-6463-058-9_73How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Ping Lei
AU  - Nana LI
AU  - Haidong Liu
PY  - 2022
DA  - 2022/12/27
TI  - Dance Movement Recognition Based on Gesture
BT  - Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022)
PB  - Atlantis Press
SP  - 448
EP  - 452
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-058-9_73
DO  - 10.2991/978-94-6463-058-9_73
ID  - Lei2022
ER  -