The Possibility of Personality Extraction Using Skeletal Information in Hip-Hop Dance by Human or Machine

Author:

Furuichi Saeka,Abe Kazuki,Nakamura Satoshi

Publisher

Springer International Publishing

Reference14 articles.

1. Chan, C., Ginosar, S., Zhou, T., Efros, A.A.: Everybody dance now. In: arXiv 2018, vol. 1, no. 1 (2018)

2. Fujimoto, M., Tsukamoto, M., Terada, T.: A dance training system that maps self-images onto an instruction video. In: The Fifth International Conference on Advances in Computer-Human Interactions (ACHI2012), pp. 309–314, Valencia (2012)

3. Lecture Notes in Computer Science;H Saito,2018

4. Cao, Z., Simon, T., Wei, S.E., Sheikh, Y.: Real time multi-person 2D pose estimation using part affinity fields. In: Computer Vision and Pattern Recognition (CVPR2017), Honolulu (2017)

5. Sato, N., Imura, S., Nunome, H., Ikegami, Y.: Motion characteristics in hip hop dance underlying subjective evaluation of the performance. In: The 30th Conference of the International Society of Biomechanics in Sports (ISBS2012), pp. 17–20, Melbourne (2012)

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