Abstract
As an art form with a long history, dance is very popular in culture, entertainment and other fields. With the rapid development of motion capture and graphics rendering technology, traditional dance forms have also ushered in digital transformation. Dance games, as a game type with dance as the core gameplay, not only provide players with opportunities for physical exercise, but also promote social interaction and bring players a unique entertainment experience. Restricted by the high production cost of dance animation, most dance games contain only a small amount of pre-produced dance content during the development process, making it difficult to satisfy players’ diverse preferences and demand for new content. With the continuous development of artificial intelligence technology, efficient production of 3D dance animation has become possible. This technological advancement not only enables development teams to quickly update game content, but also enables players to realize user-generated content in the game. In order to explore the prospects of AI technology in dance games, we developed a somatosensory dance game based on 3D dance animation generation technology. This game contains a rich variety of dance animation database and allows players to freely create personalized game levels. We hope that by introducing AI technology into dance games, players can freely enjoy the charm of dance art in the game.
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Acknowledgments
This work was partly supported by Shenzhen Key Labora tory of next generation interactive media innovative technology (No: ZDSYS20210623092001004)
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Zhao, J. et al. (2024). DanceFree: A Somatosensory Dance Game Based on 3D Dance Animation Generation Algorithm. In: Fang, X. (eds) HCI in Games. HCII 2024. Lecture Notes in Computer Science, vol 14730. Springer, Cham. https://doi.org/10.1007/978-3-031-60692-2_22
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DOI: https://doi.org/10.1007/978-3-031-60692-2_22
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