| Paper Abstract and Keywords |
| Presentation |
2020-02-08 10:45
Analysis of dance choreography combination using random forest
Ryosuke Kitai, Asako Soga (RU) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
This study generates by machine learning dance choreographies that can be useful for choreographers. We analyzed using random forest what factors are highly evaluated for short choreography combinations generated by a body-part motion synthesis system that automatically creates combinations of body-part movements. As learning data, we used choreography combination data and evaluation data from a professional choreographer. We analyzed the tendencies of the highly evaluated choreography combinations with high importance motions. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Machine learning / Dance / Random Forest / / / / / |
| Reference Info. |
ITE Tech. Rep., vol. 44, no. 4, ME2020-2, pp. 5-6, Feb. 2020. |
| Paper # |
ME2020-2 |
| Date of Issue |
2020-02-01 (ME) |
| ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
| Download PDF |
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| Conference Information |
| Committee |
ME |
| Conference Date |
2020-02-08 - 2020-02-08 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Kanto Gakuin University |
| Topics (in Japanese) |
(See Japanese page) |
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| Paper Information |
| Registration To |
ME |
| Conference Code |
2020-02-ME |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Analysis of dance choreography combination using random forest |
| Sub Title (in English) |
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| Keyword(1) |
Machine learning |
| Keyword(2) |
Dance |
| Keyword(3) |
Random Forest |
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| 1st Author's Name |
Ryosuke Kitai |
| 1st Author's Affiliation |
Ryukoku University (RU) |
| 2nd Author's Name |
Asako Soga |
| 2nd Author's Affiliation |
Ryukoku University (RU) |
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| Speaker |
Author-1 |
| Date Time |
2020-02-08 10:45:00 |
| Presentation Time |
15 minutes |
| Registration for |
ME |
| Paper # |
ME2020-2 |
| Volume (vol) |
vol.44 |
| Number (no) |
no.4 |
| Page |
pp.5-6 |
| #Pages |
2 |
| Date of Issue |
2020-02-01 (ME) |