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Dance Step Recommender
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 175 - Number 15 |
| Year of Publication: 2020 |
| Authors: Chinmay Kulkarni, Ritesh Nemade, Sanket Sutar, Akshay Tarde, Mandar Deshpande, Madhuri Joshi |
10.5120/ijca2020920647
|
Chinmay Kulkarni, Ritesh Nemade, Sanket Sutar, Akshay Tarde, Mandar Deshpande, Madhuri Joshi . Dance Step Recommender. International Journal of Computer Applications. 175, 15 ( Aug 2020), 26-29. DOI=10.5120/ijca2020920647
Abstract
The huge measure of information accessible on the Internet has prompted the improvement of clever frameworks. Lately, there has been a ton of consideration in frameworks like music recommender, book recommender, film recommender, and so on. Likewise, the motivation behind this project is to use soft computing techniques to develop a choreography system. This article outlines a detailed summary of the “Dance Choreography System”. The system choreographs dance by recommending dance steps, considering the time signature and tempo of the given soundtrack as its core components. The paper incorporates a portrayal of the subject, framework engineering, and gives an itemized depiction of the work done to point. The project outputs the dance steps, applied to an animated character that is displayed on the browser.
References
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