| Presentation | 2022-12-13 [Short Paper] A Study of Street Dance Evaluation System Using Rhythm Keeping Index by Deep Learning Kaku Minowa, Tomoki Yoshihisa, Hideto Yano, Naoto Kai, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Due to the Japanese dance education compulsory, street dance gets great attention. General street dancers regard the dancing which movements match with the music rhythms, i.e., keeping rhythms, as skilful dancers. However, in the evaluation of street dance so far, it was confirmed manually whether the dancer could keep the rhythm. Hence, in this research, we are studying about the system that automatically calculates the rhythm keeping indexes from dance movies. Our proposed street dance evaluation system focuses on the ``early movements,'' which mean earlier movements of dancers compared to the music rhythms. Our proposed system recognizes the early movements by detecting the music rhythms and the dancer's movements by deep learning technologies. For street dance evaluations, we give the rhythm keeping indexes based on the frequency of the early movements. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | pose estimation / motion analysis / music analysis / dancing |
| Paper # | IA2022-54 |
| Date of Issue | 2022-12-05 (IA) |
| Conference Information | |
| Committee | IN / IA |
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| Conference Date | 2022/12/12(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Higashi-Senda campus, Hiroshima Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Performance Analysis and Simulation, Robustness, Traffic and Throughput Measurement, Quality of Service (QoS) Control, Congestion Control, Overlay Network/P2P, IPv6, Multicast, Routing, DDoS, etc. |
| Chair | Kunio Hato(Internet Multifeed) / Tomoki Yoshihisa(Osaka Univ.) |
| Vice Chair | Tsutomu Murase(Nagoya Univ.) / Yusuke Sakumoto(Kwansei Gakuin Univ.) / Yuichiro Hei(KDDI Research) / Hiroshi Yamamoto(Ritsumeikan Univ.) |
| Secretary | Tsutomu Murase(KDDI Research) / Yusuke Sakumoto(Nagaoka Univ. of Tech.) / Yuichiro Hei(NTT) / Hiroshi Yamamoto(NTT) |
| Assistant | / Daisuke Kotani(Kyoto Univ.) / Ryo Nakamura(Fukuoka Univ.) / Ryo Nakamura(Univ. of Tokyo) |
| Paper Information | |
| Registration To | Technical Committee on Information Networks / Technical Committee on Internet Architecture |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Short Paper] A Study of Street Dance Evaluation System Using Rhythm Keeping Index by Deep Learning |
| Sub Title (in English) | |
| Keyword(1) | pose estimation |
| Keyword(2) | motion analysis |
| Keyword(3) | music analysis |
| Keyword(4) | dancing |
| Keyword(5) | |
| 1st Author's Name | Kaku Minowa |
| 1st Author's Affiliation | Osaka University(Osaka Univ.) |
| 2nd Author's Name | Tomoki Yoshihisa |
| 2nd Author's Affiliation | Osaka University(Osaka Univ.) |
| 3rd Author's Name | Hideto Yano |
| 3rd Author's Affiliation | Osaka University(Osaka Univ.) |
| 4th Author's Name | Naoto Kai |
| 4th Author's Affiliation | Osaka University(Osaka Univ.) |
| Date | 2022-12-13 |
| Paper # | IA2022-54 |
| Volume (vol) | vol.122 |
| Number (no) | IA-306 |
| Page | pp.pp.38-39(IA), |
| #Pages | 2 |
| Date of Issue | 2022-12-05 (IA) |