Mindoro, J. N., Festijo, E. D., & De Guzman, M. T. G. (2021). A Comparative Study of Deep Transfer Learning Techniques for Cultural (Aeta) Dance Classification utilizing Skeleton-Based Choreographic Motion Capture Data. 74-79. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ICCIKE51210.2021.9410796
J.N. Mindoro E.D. Festijo M.T.G. De GuzmanAeta dances Behavioral research CNN Classification accuracy Classification approach Convolutional neural networks Deep learning Innovative approaches Intangible cultural heritages Intelligent computing Learning architectures Learning systems Markerless motion capture Monitoring applications Motion capture Motion capture data Musculoskeletal system Network architecture Transfer learning human motion Intangible cultural heritage (ICH) markerless motion capture device
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Tan, S. -K., Lim, H. -H., Tan, S. -H., & Kok, Y. -S. (2020). A Cultural Creativity Framework for the Sustainability of Intangible Cultural Heritage. Journal Of Hospitality And Tourism Research, 44, 439-471. https://doi.org/10.1177/1096348019886929 (Original work published mar)
Siow-Kian Tan Hui-Hui Lim Siow-Hooi Tan Yon-Sin KokWorld Heritage Site (WHS) Creativity Culture Intangible cultural heritage (ICH) Sustainability
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