Khan, M., & y, P. de B. (2012). Creating Tangible Cultural Learning Opportunities for Indigenous Dance with Motion Detecting Technologies. 57—+. Rochester, NY. https://doi.org/10.1109/IGIC.2012.6329834
Muqeem Khan Penny yAugmented reality Augmented reality Cultural heritages Cultural learning Dance movement Detecting technology Future generations Gaming technology heritage Knowledge management Knowledge transfer Learning opportunity Motion detecting Technologies Motion sensing Museum Technologie museums Prerecorded video Serious Gaming Serious gaming Social interactions Spoken words Video contents Video reproduction
Strizrep, I., Krzic, A. S., & Sersic, D. (2018). Automated classification of Croatian traditional music. 1028-1033. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.23919/MIPRO.2018.8400188
Ivan Strizrep Ana Krzic Damir SersicArtificial intelligence Automated classification Classification (of information) Croatians Future generations Geographical regions Intangible cultural heritages Learning systems Mel frequency cepstral co-efficient Microelectronics Singing styles Speech recognition Zero crossing rate machine learning Mel-frequency cepstral coefficients traditional music