SayawMo: A Recognition Model for Western-Influenced Philippine Folk Dance

DOI

10.2991/978-94-6463-684-0_7How to use a DOI?

Keywords

Long-short Term Memory; MediaPipe; Western-influenced Philippine Folk Dance; Pose Model

Abstract

Folk Dance showcases both the performative and cultural dimensions of dance. Although its instruction has been integrated into the Philippine education system, the declining interest and exposure, compounded by the challenges of instruction and lack of surrounding research, prompts the need for alternate solutions for dance representation. The integration of technology in the realm of dance presents a transformative opportunity to explore and support various perspectives of dance, in education, or historical preservation. These can be accomplished through developing a dance model. Therefore, a supervised dance recognition model for the upper and lower body dance terms in Western-influenced Philippine Folk Dance was built using the Long Short-Term Memory (LSTM) Neural Network alongside the MediaPipe pose model. While the upper body model achieved an F1 score of 0.9188, effectively representing the upper body dance literature, the lower body model struggled with an F1 score of 0.2284, failing to adequately represent the lower body dance literature.

Copyright

© 2025 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.

Download article (PDF)

TY  - CONF
AU  - Kermichil A. Herbieto
AU  - Robert R. Roxas
PY  - 2025
DA  - 2025/04/30
TI  - SayawMo: A Recognition Model for Western-Influenced Philippine Folk Dance
BT  - Proceedings of the  Workshop on Computation: Theory and Practice (WCTP 2024)
PB  - Atlantis Press
SP  - 108
EP  - 117
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-684-0_7
DO  - 10.2991/978-94-6463-684-0_7
ID  - Herbieto2025
ER  -