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AIST Dance Video Database (AIST Dance DB) is created by Shuhei Tsuchida, Satoru Fukayama, Masahiro Hamasaki, and Masataka Goto, and is brought to you as a part of a research project conducted by AIST Media Interaction Group. AIST Dance DB was supported in part by JST ACCEL Grant Number JPMJAC1602, Japan.

Please contact aistdancedb-ml@aist.go.jp for any questions.

Shuhei Tsuchida

tsuchida Shuhei Tsuchida currently works as an AIST Postdoctoral Researcher at AIST, Japan. He received his Ph.D. from Kobe University in 2017. His research area is human-computer interaction. He has been focused on enhancing dance experiences by using various information processing techniques. He is an ACM member and IPSJ member.                                                                                                                                                   

Satoru Fukayama

fukayama Satoru Fukayama (深山 覚)is a Senior Researcher at the National Institute of Advanced Industrial Science and Technology (AIST), Japan. He received his Bachelor degree in Earth and Planetary Physics in 2008 and Ph.D. degree in Information Science and Technology in 2013, both from the University of Tokyo. His main interests are in the theory and applications of automated music generation using machine learning. He has received awards including the IPSJ Yamashita SIG Research Award, Specially Selected Paper Award, and several Best Presentation Awards from the Information Processing Society of Japan.

Masahiro Hamasaki

hamasaki Masahiro Hamasaki is a group leader at the Media Interaction Group, Information Technology Research Institute (ITRI), at the National Institute of Advanced Industrial Science and Technology (AIST), Japan. He is also an associate professor at the University of Tsukuba. He received a B.E. degree in Engineering in 2000 from Doshisha University, an M.E. degree in Engineering in 2002 from Nara Institute of Science and Technology (NAIST), and a Ph.D degree in Informatics in 2005 from Soken University. His research interests cover online communities, knowledge sharing systems, and social media analysis.

Masataka Goto

goto Masataka Goto received a Doctor of Engineering degree from Waseda University in 1998. He is currently a Prime Senior Researcher at the National Institute of Advanced Industrial Science and Technology (AIST). In 1992, he was one of the first to start working on automatic music understanding and has since been at the forefront of research on music technologies and music interfaces based on those technologies. Over the past 27 years, he has published more than 270 papers in refereed journals and international conferences and has received 50 awards, including several best paper awards, best presentation awards, the Tenth Japan Academy Medal, and the Tenth JSPS PRIZE. He has served as a committee member of over 110 scientific societies and conferences, including the General Chair of the 10th and 15th International Society for Music Information Retrieval Conferences (ISMIR 2009 and 2014). In 2016, as Research Director, he began a 5-year research project (OngaACCEL Project) on music technologies, a project funded by the Japan Science and Technology Agency (ACCEL, JST).