An Extensive Review of Computational Dance Automation Techniques and Applications
June 03, 2019 Β· Declared Dead Β· π Proceedings of the Royal Society A
"No code URL or promise found in abstract"
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Authors
Manish Joshi, Sangeeta Jadhav
arXiv ID
1906.00606
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.AI
Citations
34
Venue
Proceedings of the Royal Society A
Last Checked
3 months ago
Abstract
Dance is an art and when technology meets this kind of art, it's a novel attempt in itself. Several researchers have attempted to automate several aspects of dance, right from dance notation to choreography. Furthermore, we have encountered several applications of dance automation like e-learning, heritage preservation, etc. Despite several attempts by researchers for more than two decades in various styles of dance all round the world, we found a review paper that portrays the research status in this area dating to 1990 \cite{politis1990computers}. Hence, we decide to come up with a comprehensive review article that showcases several aspects of dance automation. This paper is an attempt to review research work reported in the literature, categorize and group all research work completed so far in the field of automating dance. We have explicitly identified six major categories corresponding to the use of computers in dance automation namely dance representation, dance capturing, dance semantics, dance generation, dance processing approaches and applications of dance automation systems. We classified several research papers under these categories according to their research approach and functionality. With the help of proposed categories and subcategories one can easily determine the state of research and the new avenues left for exploration in the field of dance automation.
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