Abstract
Hand-waving dance is the essence of Tujia culture. Whereas it is facing the danger of dying out. Following a choreographer’s direct demonstration or watching videos recorded by dancers is the traditional learning method. Though there will be a certain degree of effect, the preciseness and feedbacks are often not so satisfying. In this paper, by analyzing the application of motion sensing technology in dance teaching, we designed and developed a set of interactive teaching system based on Kinect for Tujia traditional Hand-waving dance. In this system, not only can users learn dance skills, but they can also get an intuitionistic evaluation and review their learning process. Our study aims to solve the problem in Hand-waving dance teaching and provides a new method for Hand-waving Dance learning. Finally, we can see that the interactive learning based on computer is gradually becoming a new popular learning style.
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Acknowledgement
This work was funded by National Science and Technology plan project, Key Technology Research and Demonstration of Tujia music culture digital protection and display (2015BAK03B03).
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Liu, Q., Yu, S., Wang, Y., Le, H., Yuan, Y. (2017). A Hand-Waving Dance Teaching System Based on Kinect. In: Cheung, S., Kwok, Lf., Ma, W., Lee, LK., Yang, H. (eds) Blended Learning. New Challenges and Innovative Practices. ICBL 2017. Lecture Notes in Computer Science(), vol 10309. Springer, Cham. https://doi.org/10.1007/978-3-319-59360-9_31
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DOI: https://doi.org/10.1007/978-3-319-59360-9_31
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