Artese, M. T., & Gagliardi, I. (2012). Cataloging intangible cultural heritage on the web (Vol. 7616 LNCS). En (Vol. 7616 LNCS). Limassol. https://doi.org/10.1007/978-3-642-34234-9_71
M.T. Artese I. GagliardiAESS Analog to digital conversion Artificial intelligence cultural heritage Cultural heritages Cultural institutions Database systems Digital archives ECHI project Education Educational game Ethnographic Multimedia Archives High quality Historic preservation ICH card Information System Information systems Learning systems Local community Motion capture Motion data Multimedia archives UNESCO Video material Video recording database Digitization Educational games Folk dances Motion capture
Manitsaris, S., Glushkova, A., Bevilacqua, F., & Moutarde, F. (2014). Capture, Modeling, and Recognition of Expert Technical Gestures in Wheel-Throwing Art of Pottery. Acm Journal On Computing And Cultural Heritage, 7. https://doi.org/10.1145/2627729 (Original work published jul)
S. Manitsaris A. Glushkova F. Bevilacqua F. MoutardeArtificial intelligence HCI Hidden Markov models Human computer interaction Human computer interfaces Inertial navigation systems Inertial sensor Inertial sensors Intangible cultural heritages Learning systems machine learning Methodological frameworks Modeling and recognition perception Real time Sensory perception Statistical modeling Wheels
Markovic, L., & Sofronijevic, A. (2015). Building a Gamified System for Caputring MOOC Related Data: Smart City Learning Community as its Most Precious Source of Intangible Cultural Heritage. 175-182. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/Culture.and.Computing.2015.45
Ljiljana Markovic Adam SofronijevicEducation Gamification Intangible cultural heritages Learning community Learning systems MOOC Problem solving Smart cities Teaching Gamification Intangible cultural heritage learning community Smart City
Rallis, I., Bakalos, N., Doulamis, N., Doulamis, A., & Voulodimos, A. (2021). Bidirectional long short-term memory networks and sparse hierarchical modeling for scalable educational learning of dance choreographies. Visual Computer, 37, 47-62. https://doi.org/10.1007/s00371-019-01741-3 (Original work published jan)
Ioannis Rallis Nikolaos Bakalos Nikolaos Doulamis Anastasios Doulamis Athanasios VoulodimosBidirectional LSTM Brain Dance summarization Deep learning Educational learning Gesture recognition Hierarchical representation Identification procedure Intangible cultural heritage Intangible cultural heritages Learning systems Long short-term memory Pose identification Quantitative assessments Representative selection Serious games
Kara, N. A Mixed-Methods Study of Cultural Heritage Learning through Playing a Serious Game. International Journal Of Human-Computer Interaction. https://doi.org/10.1080/10447318.2022.2125627
Nuri KaraCultural heritages European Countries Game design Gameplay Intangible cultural heritages Learning experiences Learning systems Mixed method Post test Serious games Student learning Students Testing University students
Wang, Y., & Fu, R. (2020). A Methodological Reflection: Deconstructing Cultural Elements for Enhancing Cross-Cultural Appreciation of Chinese Intangible Cultural Heritage (Vol. 12215 LNCS). En (Vol. 12215 LNCS). Springer. https://doi.org/10.1007/978-3-030-50267-6_32
Y. Wang R. FuAdversarial networks Algorithm model Artificial intelligence Bamboo Bamboo weaving patterns Blue calico Case-studies Chinese people Co-design Computer graphics Computer image processing Computer science Computer Vision Computers Cotton fabrics Deep learning Design ethnography Digital cultural heritage Employment Evaluation metrics Experience-centred design (ECD) Generative adversarial networks Hci researches Human computer interaction Human computer interaction (HCI) Image generations Image processing Intangible Cultural Heritage Protection Intangible cultural heritage regeneration Intangible cultural heritages Jiangxi Province Learning systems machine learning New approaches Pattern designs Practical method Printed patterns Printing and dyeing Research through design (RtD) Stress intensity factors Traditional Chinese painting User satisfaction Weaving patterns
Kara, N. A Mixed-Methods Study of Cultural Heritage Learning through Playing a Serious Game. International Journal Of Human-Computer Interaction. https://doi.org/10.1080/10447318.2022.2125627
Nuri KaraCultural heritages European Countries Game design Gameplay Intangible cultural heritages Learning experiences Learning systems Mixed method Post test Serious games Student learning Students Testing University students
Kara, N. A Mixed-Methods Study of Cultural Heritage Learning through Playing a Serious Game. International Journal Of Human-Computer Interaction. https://doi.org/10.1080/10447318.2022.2125627
Nuri KaraCultural heritages European Countries Game design Gameplay Intangible cultural heritages Learning experiences Learning systems Mixed method Post test Serious games Student learning Students Testing University students
Kara, N. A Mixed-Methods Study of Cultural Heritage Learning through Playing a Serious Game. International Journal Of Human-Computer Interaction. https://doi.org/10.1080/10447318.2022.2125627
Nuri KaraCultural heritages European Countries Game design Gameplay Intangible cultural heritages Learning experiences Learning systems Mixed method Post test Serious games Student learning Students Testing University students
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