“Glove Puppetry Cloud Theater Through a Virtual Reality Network” by Way, Lau and Huang

  • ©

  • ©

  • ©

Conference:


Type(s):


Entry Number: 12

Title:

    Glove Puppetry Cloud Theater Through a Virtual Reality Network

Presenter(s)/Author(s):


Abstract:


    Chinese glove puppetry is a traditional art with a long history and widely spread in the folk ever. This paper presents a collaborative work in multi-user virtual reality system for puppetry’s opera. According to our developed system, each user has a unique perspective on any shared virtual world and interaction through our virtual reality network. This system achieves human-computer interaction and realizes the interaction between people. In addition, it brings an entertaining experience to users and easy to operate for all ages. In order to cultural preservation, we can record a grandmaster’s puppet show performance in our system. Our research not only delivers a balance of art and technology in culture creativity, but also preserve folk art.

References:


    • C.Y. Lin, Z. H. Yang, H W. Zhou, et. al. “Combining Leap Motion with Unity for Virtual Glove Puppets”, 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality, Taiwan, 10-12 Dec 2018. DOI: 10.1109/AIVR.2018.00059
    • Jia-Ming Day, Der-Lor Way, Ke-Jiuan Chen, Weng-Kei Lau, Su-Chu Hsu, “A Study on the Virtual Reality of Folk Dance and Print Art – Taking White Crane Dance for Example”, Distributed, Ambient and Pervasive Interactions: Understanding Humans, LNCS, vol. 10921, pp.347-358. (ISI, EI). Proceedings of The 20th International Conference on Human-Computer, July 7-10, Las Vegas, USA, 2018.
    • UNESCO, Strategy for training coming generations of Fujian puppetry practitioners, 2012. [Access Date : 20/3/2019]. https://ich.unesco.org/en/BSP/strategy-fortraining-coming-generations-of-fujian-puppetry-practitioners-00624.

Keyword(s):


Acknowledgements:


    The authors would like to thank the Ministry of Science and Technology of the Republic of China, Taiwan, for financially supporting this research under Contract No. MOST 106-2221-E-119 -003. And MOST 107-2410-H-119 -005.

PDF:


Overview Page: