Sports Behavior Group


Sports Behavior Group is studying information processing technology such as machine learning using complex time-series data like human body movements. We have conducted researches to model, evaluate, and understand human skillful movements and flexible teamwork using motion data of actual sports games. However, there are many unclear points regarding the behavior that deal with situations that are difficult to predict. Therefore, we aim to tackle these unsolved problems, and to develop basic information technology that can be used conveniently for various people.



Keisuke FUJII(藤井慶輔), Head of Sports Behavior Group.

Assistant Professor (Graduate School of Informatics), Visiting Scientist (RIKEN Center for Advanced Intelligence Project), Homepage (E) ()

Kazushi TSUTSUI(筒井和詩), Sports Behavior Group


Ziyi ZHANG, Sports Behavior Group

Ph.D candidate

Taku UMEDA, Driver Behavior Group

Master student

Masakiyo TERANISHI, Sports Behavior Group

Bachelor student


Data-driven Analysis in Collective Motions

Grant-in-Aid for Scientific Research on Innovative Areas (JSPS) 科研費 新学術領域研究(生物移動情報学)

Developing algorithms for analyzing collective motions forming teamwork, especially for evaluating and understanding them by modeling with machine learning. チームワークを形成する集団運動の移動データを解析する手法を開発します。特に機械学習などを用いてモデル化して評価・理解する手法に取り組みます。

Visualization of Social Behaviors

Grant-in-Aid for Young Scientists (JSPS) 科研費 若手研究

Developing algorithms for visualizing social behaviors in collective motions, especially for classifying and evaluating them in interpretable ways with machine learning. 集団運動における社会的な行動を可視化する手法を開発します。特に機械学習などを用いて解釈可能な形式で分類・評価する手法に取り組みます。

Recent Researches (list, 日本語)


Keisuke Fujii, Naoya Takeishi, Motokazu Hojo, Yuki Inaba, Yoshinobu Kawahara, Scientific Reports 10 3005 2020 [arXiv] [code]


Keisuke Fujii, Naoya Takeishi, Benio Kibushi, Motoki Kouzaki, Yoshinobu Kawahara, Scientific Reports 9 16755 2019 [code]


Keisuke Fujii, Yoshinobu Kawahara, Neural Networks, 117 94-103 2019 [arXiv] [code]


Keisuke Fujii, Takeshi Kawasaki, Yuki Inaba, Yoshinobu Kawahara, PLoS Computational Biology 14(11) e1006545 2018

Koopman spectral kernels for comparing complex dynamics: Application to multiagent sport plays, Keisuke Fujii, Yuki Inaba, Yoshinobu Kawahara, ECML-PKDD'17 127-139 2017


Keisuke Fujii, Yuki Yoshihara, Hiroko Tanabe, Yuji Yamamoto, Frontiers in Human Neuroscience 11(298) 2017


Keisuke Fujii, Keiko Yokoyama, Takeshi Koyama, Akira Rikukawa, Hiroshi Yamada, Yuji Yamamoto, Scientific Reports 6(23991) 2016