Construction and practice of training system for dance professionals based on OBE teaching model combined with Kinect motion capture technology

[1] Fang Chunhua, Tao Yuning, Wang Jianguo, You Haixin, Cui Yan, Zhou Mi. (2021). Research on Leakage Current Waveform Spectrum Characteristics of Artificial Pollution Porcelain Insulator. Frontiers in Energy Research. Search in Google Scholar

[2] Yadaei, Afsaneh, Behnam Alizadehashrafi, and Mohammad Reza Azadehfar. (2020). “A Solution for Improving Data Capture Process Aimed at Collecting Azeri Dance Data: An Action Research.” Journal of Research in Rehabilitation Sciences 15.6, 327-335. Search in Google Scholar

[3] Qian, T., Xingyu Chen, Yanli Xin, W. H. Tang, Lixiao Wang. (2022) Resilient Decentralized Optimization of Chance Constrained Electricity-gas Systems over Lossy Communication Networks. Energy, 239, 122158. Search in Google Scholar

[4] Lei, Qing, et al. (2019). “A Survey of Vision-based Human Action Evaluation Methods.” Sensors 19.19, 4129. Search in Google Scholar

[5] Fang Chunhua, Tao Yuning, Wang Jianguo, Ding Can, Huang Li, Zhou Mi, Wang Yali. (2021). Mapping Relation of Leakage Currents of Polluted Insulators and Discharge Arc Area. Frontiers in Energy Research. Search in Google Scholar

[6] Sidhu, Manjit Singh, and Javid Iqbal. (2021). “My Choreographer: An Augmented Reality Dance Training System.” Across Applied Research and Innovation 2.3, 276-281. Search in Google Scholar

[7] Dou, J. (2019). “Designing Public Digital Cultural Service Interactive System Based on reality-based Interaction. Principles.” Cyberspace Data and Intelligence, and cyber-living, Syndrome, and Health. Springer, Singapore, 502-517. Search in Google Scholar

[8] Hoffard, Jana, et al. (2022). “SkiSim: A Comprehensive Study on Full Body Motion Capture and real-time Feedback in VR Ski Training.” Augmented Humans. 131-141. Search in Google Scholar

[9] Li, Min, Zhenjiang Miao. (2019). “Dance Movement Learning for Labanotation Generation Based on motion-captured data.” IEEE Access 7, 161561-161572. Search in Google Scholar

[10] Qian, T., Liu, Y., Zhang, W. H., Tang, W. H., Shahidehpour, M. (2020). Event-Triggered Updating Method in Centralized and Distributed Secondary Controls for Islanded Microgrid Restoration. IEEE Transactions on Smart Grid, 11(2), 1387-1395. Search in Google Scholar

[11] Aristidou, Andreas, Ariel Shamir, Yiorgos Chrysanthou. (2019). “Digital dance ethnography: Organizing Large Dance Collections.” Journal on Computing and Cultural Heritage (JOCCH) 12.4, 1-27. Search in Google Scholar

[12] Senecal, Simon, Et al. (2020). “Salsa Dance Learning Evaluation and Motion Analysis in Gamified Virtual Reality Environment.” Multimedia Tools And Applications 79.33, 24621-24643. Search in Google Scholar

[13] Skublewska-Paszkowska, Maria, et al. (2022). “3D Technologies for Intangible Cultural Heritage Preservation -- Literature Review for Selected. Databases.” Heritage Science 10.1, 1-24. Search in Google Scholar

[14] Chen, Hua-Tsung, Yu-Zhen He. (2018). “Computer-assisted Yoga Training System.” Multimedia Tools and Applications 77.18, 23969-23991. Search in Google Scholar

[15] Zhou, Wenhai. (2020). Chinese Independent Animation: Renegotiating Identity in Modern China. Springer Nature. Search in Google Scholar

[16] Vanek, Verena, et al. (2022). “Human Movement Quality Assessment Using Sensor Technologies in Recreational and Professional Sports: A Scoping Review.” Sensors 22.13, 4786. Search in Google Scholar

[17] Limbu, Big Hang, et al. (2018). “Using sensors and augmented reality to train apprentices using recorded expert performance: A Systematic Literature Review.” Educational Research Review 25, 1-22. Search in Google Scholar

[18] Ma, Fubo. (2021). “Action Recognition of Dance Video Learning Based on Embedded System and Computer Vision Image.” Microprocessors And Microsystems 81, 103779. Search in Google Scholar

[19] Subedi, Sudip, Nipesh Pradhananga. (2021). “Sensor-based computational approach to preventing back injuries in construction Workers.” Automation in Construction 131, 103920. Search in Google Scholar

[20] De Armas, Claudia, Romero Tori, Antonio Valerio Netto. (2020). “Use of virtual reality simulators for training programs in the areas of security and Defense: A Systematic Review.” Multimedia Tools and Applications 79.5, 3495-3515. Search in Google Scholar

[21] Trajkova, Milka, and Francesco Cafaro. (2018). “Takes Tutu to ballet: “Designing Visual and Verbal Feedback for Augmented Mirrors.” Proceedings of the ACM on Interactive, Mobile. Wearable and Ubiquitous Technologies 2.1, 1-30. Search in Google Scholar

[22] Kamel, Aouaidjia, et al. (2019). “An investigation of 3D human pose estimation for learning Tai Chi: “A Human Factor Perspective.” International Journal of Human-Computer Interaction 35.4-5, 427-439. Search in Google Scholar

[23] Dos Santos, Augusto Dias Pereira, et al. (2022). “Enriching head ‘assessments of rhythmic Forro dance skills by modeling motion sensor data. The” International-the Human-Computer Studies 161, 102776. Search in Google Scholar

[24] Mat Sanusi, Khaleel Asyraaf, et al. (2021). “Table tennis tutor: Forehand Strokes Classification Based on Multimodal data and Neural Networks.” Sensors 21.9, 3121. Search in Google Scholar

[25] Strutt, Daniel, et al. (2022). “New Telematic Technology for the Remote Creation and Performance of Choreographic Work.” 197-222. Search in Google Scholar

[26] De Giorgis, Nikolas, et al. (2019). “Evaluating movement quality through intrapersonal Synchronization.” IEEE Transactions on Human-Machine Systems, 49.4, 304-313. Search in Google Scholar

[27] Radhakrishnan, Unnikrishnan, Konstantinos Koumaditis, Francesco Chinello. (2021). “A Systematic Review of Immersive Virtual Reality for Industrial Skills Training Information Technology 40.12, 1310-1339. Search in Google Scholar

[28] Zhu, Xionghao, Fan Kou. (2021). “Three-dimensional simulation of swimming training based on the android mobile system and virtual reality Technology.” Microprocessors and Microsystems 82, 103908. Search in Google Scholar

[29] Li, Zihao, Mingming Zhou, Kelly Ka Lai Lam. (2022). “Dance in Zoom: Using video conferencing tools to develop students’ 4C skills and self-efficacy during COVID-19.” Thinking Skills and Creativity, 101102. Search in Google Scholar

[30] Habermann, Marc, et al. (2019). “Livecap: Real-time Human performance capture from monocular video.” ACM Transactions On Graphics (TOG) 38.2, 1-17. Search in Google Scholar

[31] Ya-Ping, Chen. (2021). “Identity, Hybridity, Diversity: A Brief History of Dance in Taiwan.” The Routledge Companion to Dance in Asia and The Pacific. 181-189. Search in Google Scholar

[32] Kamińska, Dorota, et al. (2019). “Virtual Reality and Its Applications in Education: Survey.” Information 10.10, 318. Search in Google Scholar

[33] Stan č in, Sara, the Sa Toma š o avdeev I č. (2022). “Recognizing Solo Jazz Dance Moves Using a Single leg - Attached Inertial Wearable Device.” Sensors 22.7 2446. Search in Google Scholar

[34] Zhou, Zhongyi, Anran Xu, Koji Yatani. (2021). “SyncUp: “Vision-based Practice Support for Synchronized Dancing.” Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5.3, 1-25. Search in Google Scholar

[35] Hribernik, Matev avdeev, et al. (2022). “Review of real-time Biomechanical Feedback Systems in Sport and Rehabilitation.” Sensors 22.8, 3006. Search in Google Scholar