Preprints

Qingrui Hu, Atom Scott, Calvin Yeung, Keisuke Fujii, Basketball-SORT: An Association Method for Complex Multi-object Occlusion Problems in Basketball Multi-object Tracking, arXiv preprint arXiv:2406.19655, 2024

Kazuhiro Yamada, Keisuke Fujii, Offensive Lineup Analysis in Basketball with Clustering Players Based on Shooting Style and Offensive Role, arXiv:2403.13821, 2024

Jiale Fang, Calvin Yeung, Keisuke Fujii, Foul prediction with estimated poses from soccer broadcast video, arXiv:2402.09650, 2024 [code]

Rory Bunker, Vo Nguyen Le Duy, Yasuo Tabei, Ichiro Takeuchi, Keisuke Fujii, Multi-agent statistical discriminative sub-trajectory mining and an application to NBA basketball, arXiv:2311.16564, 2023

Calvin Yeung, Rory Bunker, Rikuhei Umemoto, Keisuke Fujii, Evaluating Soccer Match Prediction Models: A Deep Learning Approach and Feature Optimization for Gradient-Boosted Trees, arXiv preprint arXiv:2309.14807, 2023 [code]

Calvin C. K. Yeung, Tony Sit, Keisuke Fujii, Transformer-Based Neural Marked Spatio Temporal Point Process Model for Football Match Events Analysis, arXiv preprint arXiv:2302.09276, 2023 [code]

Rikuhei Umemoto, Kazushi Tsutsui, Keisuke Fujii, Location analysis of players in UEFA EURO 2020 and 2022 using generalized valuation of defense by estimating probabilities, arXiv preprint arXiv:2212.00021, 2022 [code]


Accepted Papers (*equal contribution)

2024

95. Rikako Kono, Keisuke Fujii, Mathematical models for off-ball scoring prediction in basketball, 11th Workshop on Machine Learning and Data Mining for Sports Analytics 2024 (MLSA'24) co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML-PKDD'24), accepted. [arxiv]

94. Robin Karlsson, Ruslan Asfandiyarov, Alexander Carballo, Keisuke Fujii, Kento Ohtani, Kazuya Takeda, Open-Vocabulary Predictive World Models from Sensor Observations, Sensors 2024, 24(14), 4735, 2024.7

93. Ansheng Wang, Rongjin Huang, Keisuke Fujii, Shinji Tanaka, Yoshiro Matsunami, Yasutoshi Makino Hiroyuki Shinoda, Dog’s 3D Skeleton Reconstruction from Moving Trainer for Analysing Guide Dog Training,  IEEE International Conference on Systems, Man, and Cybernetics (SMC 2024), accepted 

92. Atom Scott, Ikuma Uchida, Ning Ding, Rory Bunker, Ren Kobayashi, Takeshi Koyama, Masaki Onishi, Yoshinari Kameda, Keisuke Fujii, TeamTrack: A Dataset for Multi-Sport Multi-Object Tracking in Full-pitch Videos, 10th International Workshop on Computer Vision in Sports (CVsports) at Conference on Computer Vision and Pattern Recognition (CVPR' 24), 2024.6. [arXiv][page] [code]

91. Calvin Yeung, Kenjiro Ide, Keisuke Fujii,  AutoSoccerPose: Automated 3D posture Analysis of Soccer Shot Movements, 10th International Workshop on Computer Vision in Sports (CVsports) at Conference on Computer Vision and Pattern Recognition (CVPR' 24), 2024.6. [code]

90. Tomohiro Suzuki, Ryota Takanak, Kazuya Takeda, Keisuke Fujii, Pseudo-label based unsupervised fine-tuning of a monocular 3D pose estimation model for sports motions, 10th International Workshop on Computer Vision in Sports (CVsports) at Conference on Computer Vision and Pattern Recognition (CVPR' 24), 2024.6.  [code]

89. Calvin Yeung, Rory Bunker, Keisuke Fujii, Unveiling Multi-Agent Strategies: A Data-Driven Approach for Extracting and Evaluating Team Tactics from Football Event and Freeze-frame Data, Journal of Robotics and Mechatronics, 2024.6

88. Jun Ichikawa, Keisuke Fujii, Force-based modeling of a resilient helping role in coordinated behavior of a triad, 26th International Conference on Human-Computer Interaction (HCI International 2024), 2024.6.

87. Calvin C. K. Yeung, Keisuke Fujii, A Strategic Framework for Optimal Decisions in Football 1-vs-1 Shot-Taking Situations: An Integrated Approach of Machine Learning, Theory-Based Modeling, and Game Theory, Complex & Intelligent Systems, 2024.5 [arXiv] [code]

86. Yingjie Niu, Ming Ding, Keisuke Fujii, Kento Ohtani, Alexander Carballo, Kazuya TakedaDRUformer: Enhancing Driving Scene Important Object Detection With Driving Scene Relationship Understanding, IEEE Access, 12, 67589-67599, 2024.5.

85. Kazushi Tsutsui, Ryoya Tanaka, Kazuya Takeda, Keisuke Fujii, Collaborative hunting in artificial agents with deep reinforcement learning, eLife 13:e85694, 2024.5.

84. Tomohiro Suzuki, Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii, Runner re-identification from single-view video in the open-world setting, Multimedia Tools and Applications, 2024.3. [arXiv]

83. Tomohiro Suzuki, Kazuya Takeda, Keisuke Fujii, Automatic detection of faults in race walking from a smartphone camera: a comparison of an Olympic medalist and university athletes, International Journal of Computer Science in Sport, 23(1) 22 - 36, 2024.3. [arXiv] [code]

82. Ning Ding, Kazuya Takeda, Wenhui Jin, Yingjiu Bei, Keisuke Fujii, Estimation of control area in badminton doubles with pose information from top and back view drone videos, Multimedia Tools and Applications,  83, 24777–24793, 2024.3 [arXiv

81. Keisuke Fujii, Koh Takeuchi, Atsushi Kuribayashi, Naoya Takeishi, Yoshinobu Kawahara, Kazuya Takeda, Estimating counterfactual treatment outcomes over time in complex multiagent scenarios, IEEE Transactions on Neural Networks and Learning Systems, 1 - 15, 2024.2. [arXiv] [code

80. Keisuke Fujii, Kazushi Tsutsui, Atom Scott, Hiroshi Nakahara, Naoya Takeishi, Yoshinobu Kawahara, Adaptive action supervision in reinforcement learning from real-world multi-agent demonstrations, International Conference on Agents and Artificial Intelligence (ICAART 2024), 2, 27-39, 2024.2 [arXiv] [code]

79. Keisuke Fujii, Naoya Takeishi, Yoshinobu Kawahara, Kazuya Takeda, Decentralized policy learning with partial observation and mechanical constraints for multiperson modeling, Neural Networks, 171, 40-52, 2024.1 [code] [arXiv]

2023

78. Hiroshi Nakahara, Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii, Action valuation of on- and off-ball soccer players based on multi-agent deep reinforcement learning, IEEE Access, 11, 131237 - 131244, 2023.12 [arXiv] [note]

77.  Kota Yamamoto, Yumiko Hasegawa, Tomohiro Suzuki, Hiroo Suzuki, Hiroko Tanabe, Keisuke Fujii, Extracting proficiency differences and individual characteristics in golfers' swing using single-video markerless motion analysis, Frontiers in Sports and Active Living, 5:1272038, 2023.11.

76. Rory Bunker, Calvin C.K. Yeung, Teo Susnjak,  Chester Espie,  Keisuke Fujii, A Comparative Evaluation of Elo Ratings- and Machine Learning-based Methods for Tennis Match Result Prediction, Journal of Sports Engineering and Technology, 2023.11

75. Ryota Tanaka, Tomohiro Suzuki, Kazuya Takeda, Keisuke Fujii, Automatic Edge Error Judgment in Figure Skating Using 3D Pose Estimation from a Monocular Camera and IMUs, 6th International ACM Workshop on Multimedia Content Analysis in Sports (MMSports) at ACM Multimedia (MM 2023), 41–48, 2023.11 [code]

74. Ren Kobayashi, Rikuhei Umemoto, Kazuya Takeda, Keisuke Fujii, Score Prediction Using Multiple Object Tracking for Analyzing Movements in 2-vs-2 Handball, IEEE 12th Global Conference on Consumer Electronics (GCCE 2023),  946-947, 2023.10  (short paper)

73. Ryota Tanaka, Tomohiro Suzuki, Kazuya Takeda, Keisuke Fujii, Automatic Edge Error Judgment in Figure Skating Using 3D Pose Estimation From Inertial Sensors, IEEE 12th Global Conference on Consumer Electronics (GCCE 2023),  1099-1100, 2023.10  (short paper)

72. Robin Karlsson, Alexander Carballo, Francisco Lepe-Salazar, Keisuke Fujii, Kento Ohtani, Kazuya Takeda, Learning to Predict Navigational Patterns from Partial Observations, IEEE Robotics and Automation Letters,  8(9), 5592 - 5599, 2023.9

71.  Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii, Synergizing Deep Reinforcement Learning and Biological Pursuit Behavioral Rule for Robust and Interpretable Navigation, 1st Workshop on the Synergy of Scientific and Machine Learning Modeling  (SynS and ML) co-located with the International Conference on Machine Learning  (ICML'23), 2023.8 

70. Yumiko Hasegawa,  Ayako Okada,  Keisuke Fujii, Can golfers choose low-risk routes in steep putting based on visual feedback of ball trajectory? Frontiers in Sports and Active Living, 5: 1131390, 2023.8

69. Ziyi Zhang, Rory Bunker, Kazuya Takeda, Keisuke Fujii, Multi-agent deep-learning based comparative analysis of team sport trajectories, IEEE Access, 11, 43305 - 43315, 2023.5.

68.  Robin Karlsson, Alexander Carballo, Keisuke Fujii, Kento Ohtani, Kazuya Takeda, Predictive World Models from Real-World Partial Observations, The First IEEE International Conference on Mobility: Operations, Services, and Technologies (MOST'23), 2023.5. [arXiv] (Best Paper Award) 

67. Hiroshi Nakahara, Kazuya Takeda, Keisuke Fujii, Pitching strategy evaluation via stratified analysis using propensity score, Journal of Quantitative Analysis in Sports, 19(2), 91-102, 2023.5. [arxiv]

66. Calvin C. K. Yeung,  Rory Bunker, Keisuke Fujii, A framework of interpretable match results prediction in football with FIFA ratings and team formation, PLoS ONE 18(4): e0284318, 2023.4.13.

65.  Shoko Genda, Yu Teshima, Taku Kawamura, Daichi Ohara, Keisuke Fujii, Shizuko Hiryu, Prediction of Bat Flight Path During Obstacle Avoidance by Imitation Learning, 2nd International Workshop on Behavior analysis and Recognition for knowledge Discovery (BiRD 2023) in conjunction with the IEEE International Conference on Pervasive Computing and Communications (PerCom 2023), 2023.3. (short paper) (Best Presentation Award) 

64. Hiroko Tanabe, Keisuke Fujii, Naotsugu Kaneko, Hikaru Yokoyama,  Kimitaka Nakazawa, Biomechanical strategies to maximize gait attractiveness among women, Frontiers in Sports Active Living, 5, 1091470, 2023.2.  [PsyPost]

63. Hiroshi Nakahara, Kazuya Takeda, Keisuke Fujii, Estimating the Effect of Team Hitting Strategies Using Counterfactual Virtual Simulation in Baseball, International Journal of Computer Science in Sport, 22(1), 1 - 12, 2023.1. [arxiv]

2022

62. Robin Karlsson, Tomoki Hayashi, Keisuke Fujii, Alexander Carballo, Kento Ohtani, Kazuya Takeda, Improving Dense Representation Learning by Superpixelization and Contrasting Clustering Assignments, British Machine Vision Conference (BMVC'22), 2022.11.21 [arXiv]

61. Ziyi Zhang, Kazuya Takeda, Keisuke Fujii, Cooperative play classification in team sports via semi-supervised learning, International Journal of Computer Science in Sport, 12, 111-121, 2022.11.17. 

60. Jun Ichikawa & Keisuke Fujii,  Analysis of group behavior based on sharing heterogeneous roles in a triad using a coordinated drawing task, Frontiers in Psychology 13:890205, 2022.11.15. 

59. Keisuke Fujii, Koh Takeuchi, Atsushi Kuribayashi, Naoya Takeishi, Yoshinobu Kawahara, Kazuya Takeda, Estimating counterfactual treatment outcomes over time in complex multi-vehicle simulation, In Proceedings of 30th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2022), 7, 1-4, 2022.11.2 (short paper). [full (arxiv)] [code] [poster] (Best Poster Award) 

58.  Yumiko Hasegawa, Ayako Okada, Keisuke Fujii, A sense of distance and movement characteristics of golfers tested without visual feedback of outcomes: Is a putt that feels subjectively good also physically good? Frontiers in Sports and Active Living, 4:987493, 2022.10.25

57. Tomohiro Suzuki, Kazuya Takeda, Keisuke Fujii, Automatic Fault Detection in Race Walking From a Smartphone Camera via Fine-Tuning Pose Estimation, IEEE 11th Global Conference on Consumer Electronics (GCCE 2022), 2022.10.20  (short paper). (Gold Prize in IEEE GCCE 2022 Excellent Student Paper Awards) [Full(arxiv)] [code]

56.  Tetsuya Nagashima, Ming Ding, Keisuke Fujii & Kazuya Takeda,  Optimization of aircraft flight paths considering the conflicting parameters of economy and safety, 33rd Congress of the International Council of the Aeronautical Sciences, 2022.9.7

55.  Masakiyo Teranishi, Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii, Evaluation of creating scoring opportunities for teammates in soccer via trajectory prediction, 9th Workshop on Machine Learning and Data Mining for Sports Analytics 2022 (MLSA'22) co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML-PKDD'22), 53-73, 2022.9.19. [Full (arxiv)][code]

54.  Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii, Emergence of Collaborative Hunting via Multi-Agent Deep Reinforcement Learning, International Workshop on Human Behavior Understanding (HBU'22) in conjunction with 26th International Conference on Pattern Recognition (ICPR'22), 2022.8.21. 

53. Atom Scott (*), Ikuma Uchida(*), Masaki Onishi, Yoshinari Kameda, Kazuhiro Fukui, Keisuke Fujii, SoccerTrack: A Dataset and Tracking Algorithm for Soccer with Fish-eye and Drone Videos, 8th International Workshop on Computer Vision in Sports (CVsports) at Conference on Computer Vision and Pattern Recognition (CVPR' 22), 3569-3579, 2022.6.21 [code]

52. Ding Ning, Kazuya Takeda, Keisuke Fujii, Deep reinforcement learning in a racket sport for player evaluation with technical and tactical contexts, IEEE Access, 10, 54764 - 54772, 2022.5.2

51. Naoya Takeishi, Keisuke Fujii, Koh Takeuchi & Yoshinobu Kawahara, Discriminant Dynamic Mode Decomposition for Labeled Spatiotemporal Data Collections, SIAM Journal on Applied Dynamical Systems, 21(2), 1030-1058 2022.5 [arXiv]

50. Atom Scott, Keisuke Fujii, Masaki Onishi, How does AI play football? An analysis of RL and real-world football strategies, International Conference on Agents and Artificial Intelligence (ICAART 2022), 1, 42-52, 2022.2. [arXiv]

49. Kosuke Toda, Masakiyo Teranishi, Keisuke Kushiro & Keisuke Fujii, Evaluation of soccer team defense based on prediction models of ball recovery and being attacked: A pilot study, PLoS One, 17(1) e0263051, 2022.1 [arXiv

2021

48. Keisuke Fujii, Naoya Takeishi, Kazushi Tsutsui, Emyo Fujioka, Nozomi Nishiumi, Ryoya Tanaka, Mika Fukushiro, Kaoru Ide, Hiroyoshi Kohno, Ken Yoda, Susumu Takahashi, Shizuko Hiryu, Yoshinobu Kawahara,  Learning interaction rules from multi-animal trajectories via augmented behavioral models, Advances in Neural Information Processing Systems (NeurIPS'21), 34, 11108--11122, 2021.12. [arXiv] [slide][openreview][code][Press EN/JP]

47. Koh Takeuchi, Masaaki Imaizumi, Shunsuke Kanda, Keisuke Fujii, Masakazu Ishihata, Takuya Maekawa, Ken Yoda & Yasuo Tabei, Frechet Kernels for Trajectory Data Analysis, In Proceedings of 29th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2021), 221–224 (short paper), 2021.11

46. Yumiko Hasegawa, Ayako Okada & Keisuke Fujii. Skill Differences in a Discrete Motor Task Emerging from the Environmental Perception Phase, Frontiers in Psychology, 12:697914, 2021.10

45. Rory Bunker, Keisuke Fujii, Hiroyuki Hanada & Ichiro Takeuchi, Supervised sequential pattern mining of event sequences in sport to identify important patterns of play: an application to rugby union, PLoS One, 16(9): e0256329, 2021.9 [arXiv]

44. Kazushi Tsutsui, Keisuke Fujii, Kazutoshi Kudo, & Kazuya Takeda,  Flexible prediction of opponent motion with internal representation in interception behavior, Biological Cybernetics, 115, 473–485, 2021.8

43. Jun Ichikawa & Keisuke Fujii, Understanding Others' Roles Based on Perspective Taking in Coordinated Group Behavior, Proceedings of the Annual Meeting of the Cognitive Science Society (CogSci21), 43, 1285-1291, 2021.8

42. Tatsuya Yoshikawa, Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii, Extraction of swing motion contributing to prediction of shuttle drop position in badminton, 30th International Joint Conference on Artificial Intelligence (IJCAI-21) workshop on AI for Sports Analytics (AISA), 2021.8  (short paper)

41. Keisuke Fujii, Data-driven Analysis for Understanding Team Sports Behaviors (survey paper), Journal of Robotics and Mechatronics, 33(3) 505-514, 2021.6 [arXiv]

40. Jun Ichikawa, Keisuke Fujii, Takayuki Nagai, Takashi Omori & Natsuki Oka, Quantitative analysis of spontaneous sociality in children’s group behavior during nursery activity, PLoS One, 16(2): e0246041, 2021.2.

2020

39. Keisuke Fujii, Yujiro Yoshihara, Yukiko Matsumoto, Keima Tose, Hideaki Takeuchi, Masanori Isobe, Hiroto Mizuta, Daisuke Maniwa, Takehiko Okamura, Toshiya Murai, Yoshinobu Kawahara & Hidehiko Takahashi,  Cognition and interpersonal coordination of patients with schizophrenia who have sports habits, PLoS One 15(11), e0241863,  2020.11.

38.  Masakiyo Teranishi, Keisuke Fujii, Kazuya Takeda, Trajectory prediction with imitation learning reflecting defensive evaluation in team sports, IEEE 9th Global Conference on Consumer Electronics (GCCE 2020), 2020.12.  (short paper)

37. Shunsuke Kanda, Koh Takeuchi, Keisuke Fujii & Yasuo Tabei, Succinct Trit-array Trie for Scalable Trajectory Similarity Search. In Proceedings of 28th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2020), 518-529,2020.11. [arXiv] [code]

36. Israr Ul Haq, Keisuke Fujii & Yoshinobu Kawahara, Dynamic mode decomposition via dictionary learning for foreground modeling in videos, Computer Vision and Image Understanding, 199, 103022, 2020.6 (The short version appeared in 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP'20), 5, 476-483, 2020.3)

35. Yumiko Hasegawa, Akito Miura & Keisuke Fujii, Practice Motions Performed During Preperformance Preparation Drive the Actual Motion of Golf Putting, Frontier in Psychology, 11(513), 2020.3

34. Keisuke Fujii, Naoya Takeishi, Motokazu Hojo, Yuki Inaba & Yoshinobu Kawahara, Physically-interpretable classification of network dynamics for complex collective motions, Scientific Reports, 10, 3005, 2020.2 [arXiv] [code]

2019

33. Keisuke Fujii, Naoya Takeishi, Benio Kibushi, Motoki Kouzaki & Yoshinobu Kawahara, Data-driven spectral analysis for coordinative structures in periodic human locomotion, Scientific Reports, 9, 16755, 2019.11 [code]

32. Shinji Yamamoto, Keisuke Fujii, Kisho Zippo, Keisuke Kushiro & Masanobu Araki, The kinetic mechanisms of vertical pointing movements, Heliyon, 5(7), e02012, 2019.7

31. Keisuke Fujii & Yoshinobu Kawahara, Dynamic mode decomposition in vector-valued reproducing kernel Hilbert spaces for extracting dynamical structure among observables, Neural Networks, 117, 94-103, 2019.5 [arXiv] [code]

30. Yumiko Hasegawa, Keisuke Fujii, Akito Miura, Keiko Yokoyama & Yuji Yamamoto, Motor control of practice and actual strokes by professional and amateur golfers differ but feature a distance-dependent control strategy, European Journal of Sport Science, 19(9), 1204-1213, 2019.

29. Motokazu Hojo, Keisuke Fujii & Yoshinobu Kawahara, Analysis of factors predicting who obtains a ball in basketball rebounding situations, International Journal of Performance Analysis in Sport, 19(2), 192-205, 2019.

28. Keisuke Fujii & Yoshinobu Kawahara, Supervised Dynamic Mode Decomposition via Multitask Learning, Pattern Recognition Letters, 122(1), 7-13, 2019. [code]

2018 

27. Motokazu Hojo, Keisuke Fujii, Yuki Inaba, Yoichi Motoyasu & Yoshinobu Kawahara, Automatically recognizing strategic cooperative behaviors in various situations of a team sport, PLoS One 13(12), e0209247, 2018.

26. Keisuke Fujii, Takeshi Kawasaki, Yuki Inaba & Yoshinobu Kawahara, Prediction and classification in equation-free collective motion dynamics, PLoS Computational Biology, 14(11), e1006545, 2018.

25. Isao Ishikawa, Keisuke Fujii, Masahiro Ikeda, Yuka Hashimoto & Yoshinobu Kawahara, Metric on nonlinear dynamical systems with Perron-Frobenius operators, Advances in Neural Information Processing Systems (NeurIPS'18), 31, 2858-2868, 2018. [arXiv] [code]

24. Jun Ichikawa, Keisuke Fujii, Takayuki Nagai, Takashi Omori & Natsuki Oka, Quantitative analysis and visualization of children's group behavior from the perspective of development of spontaneity and sociality, 24th Conference of Collaboration Researchers International Working Group (CRIWG'18), 169-176, 2018.

23. Keiko Yokoyama, Hiroyuki Shima, Keisuke Fujii, Noriyuki Tabuchi & Yuji Yamamoto, Social forces for team coordination in ball possession game, Physical Review E, 97(022410), 2018.

2017 

22. Keisuke Fujii, Yuki Inaba & Yoshinobu Kawahara, Koopman spectral kernels for comparing complex dynamics: Application to multiagent sport plays, European Conf. on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD'17), 127-139, 2017.

21. Hiroko Tanabe, Keisuke Fujii & Motoki Kouzaki, Intermittent muscle activity in the feedback loop of postural control system during natural quiet standing, Scientific Reports, 7(10631), 2017.

20. Keisuke Fujii, Yuki Yoshihara, Hiroko Tanabe & Yuji Yamamoto, Switching adaptability in human-inspired sidesteps: A minimal model, Frontiers in Human Neuroscience, 11(298), 2017.

19. Daichi Yamashita, Keisuke Fujii, Shinsuke Yoshioka, Tadao Isaka & Motoki Kouzaki, Asymmetric interlimb role-sharing in mechanical power during human sideways locomotion, Journal of Biomechanics 57 79-86 2017.

18. Yumiko Hasegawa, Keisuke Fujii, Akito Miura & Yuji Yamamoto, Resolution of low-velocity control in golf putting differentiates professionals from amateurs, Journal of Sports Sciences 35(13), 1239-1246, 2017.

17. Hiroko Tanabe, Keisuke Fujii & Motoki Kouzaki, Joint coordination and muscle activities of ballet dancers during tiptoe standing, Motor Control, 21(1), 72-89, 2017.

2016

16. Keisuke Fujii, Keiko Yokoyama, Takeshi Koyama, Akira Rikukawa, Hiroshi Yamada & Yuji Yamamoto, Resilient help to switch and overlap hierarchical subsystems in a small human group, Scientific Reports, 6(23991), 2016.

15. Hiroko Tanabe, Keisuke Fujii, Yasuyuki Suzuki & Motoki Kouzaki, Effect of intermittent feedback control on robustness of human-like postural control system, Scientific Reports, 6(22446), 2016.

14. Daiki Murase, Keiko Yokoyama, Keisuke Fujii, Yumiko Hasegawa & Yuji Yamamoto, Baseball Catching Patterns Differ According to Task Constraints, Advances in Physical Education, 63017, 2016.

2015

13. Keisuke Fujii, Tadao Isaka, Motoki Kouzaki & Yuji Yamamoto, Mutual and asynchronous anticipation and action in sports as globally competitive and locally coordinative dynamics, Scientific Reports, 5(16140), 2015.

12. Keisuke Fujii, Takeshi Koyama, Akira Rikukawa, Hiroshi Yamada & Yuji Yamamoto, Helping behavior toward a teammate: real-time group problem-solving at multiple spatial scales during a ballgame, The First International Symposium on Swarm Behavior and Bio-Inspired Robotics, 1, 36-39, 2015.  (short paper)

11. Keisuke Fujii, Daichi Yamashita, Tetsuya Kimura, Tadao Isaka & Motoki Kouzaki, Preparatory Body State before Reacting to an Opponent: Short-Term Joint Torque Fluctuation in Real-Time Competitive Sports, Plos One, 10(5), 2015.

10. Keisuke Fujii, Shinsuke Yoshioka, Tadao Isaka & Motoki Kouzaki, The preparatory state of ground reaction forces in defending against a dribbler in a basketball 1-on-1 dribble subphase, Sports Biomechanics, 14(1), 1-17, 2015

9. Ryosuke Ozawa, Keisuke Fujii & Motoki Kouzaki, The Return Trip Is Felt Longer Only Postdictively: A Psychophysiological Study of the Return Trip Effect, Plos One, 10(6), 2015.

2014

8. Keisuke Fujii, Daichi Yamashita, Shinsuke Yoshioka, Tadao Isaka & Motoki Kouzaki, Strategies for defending a dribbler: Categorisation of three defensive patterns in 1-on-1 basketball, Sports Biomechanics, 13(3), 1-11, 2014.

7. Keisuke Fujii, Masahiro Shinya, Daichi Yamashita, Shingo Oda & Motoki Kouzaki, Anticipation by basketball defenders: an explanation based on the 3D inverted pendulum model, European Journal of Sport Science, 14(6), 538-546, 2014.

6. Keisuke Fujii, Masahiro Shinya, Daichi Yamashita, Shingo Oda & Motoki Kouzaki, Superior reaction to changing directions for skilled basketball defenders, but not linked with specialized anticipation, European Journal of Sport Science, 14(3), 209-216, 2014.

5. Hiroko Tanabe, Keisuke Fujii & Motoki Kouzaki, Inter- and intra- lower limb joint coordination of non-expert classical ballet dancers during tiptoe standing, Human Movement Science, 34, 41-56, 2014.

2013

4. Keisuke Fujii, Shinsuke Yoshioka, Tadao Isaka & Motoki Kouzaki, Unweighted state as a sidestep preparation improve the initiation and reaching performance for basketball players, Journal of Electromyography and Kinesiology, 23(6), 1467-1473, 2013.

3. Daichi Yamashita, Masahiro Shinya, Keisuke Fujii, Shingo Oda & Motoki Kouzaki, Walk-, run- and gallop-like gait patterns in human sideways locomotion, Journal of Electromyography and Kinesiology,  23(6), 1480-1484, 2013.

2012-

2. Hiroko Tanabe, Keisuke Fujii & Motoki Kouzaki, Large postural fluctuations but unchanged postural sway dynamics during tiptoe standing in comparison with quiet standing, Journal of Electromyography and Kinesiology, 22(6), 975-982, 2012.

1. Keisuke Fujii, Yosuke Yamada & Shingo Oda, Skilled basketball players rotate their shoulders more during running while dribbling, Perceptual and Motor Skills, 110(3), 983-994, 2010.

Ph. D. Thesis

Cognitive and motor control mechanism for ballgame defenders in 1-on-1 defensive situation

Graduate school of human and environmental studies, Kyoto University,  2014


Books 

Rory Bunker, Calvin Yeung, Keisuke Fujii, Machine Learning for Soccer Match Result Prediction (Chapter), Artificial Intelligence, Optimization, and Data Sciences in Sports, 2024


Books and Reviews (Japanese)

査読あり日本語論文

4. 藤井 慶輔・小山 孟志, 競技レベルの高い相手との試合中におけるバスケットボール選手の運動出力と心拍応答, スポーツパフォーマンス研究, 9, 542-556, 2017.

3. 岩見雅人・藤井慶輔・伊藤穣, センサバスケットボールを用いたシュートのバックスピン回転数と入射角の計測精度検証, バスケットボール研究, 2, 33-39, 2016.

2. 藤井慶輔・小山孟志・陸川章・山田洋・山田憲政・山本裕二, ワイヤレス慣性センサを用いたゲーム中の動きの激しさの評価:光学式カメラによる自動プレー判定システムを併用して, バスケットボール研究, 1, 33-46, 2015.

1. 池永昌弘・山田陽介・吉田智恵・三原里佳子・藤井慶輔・森村和浩・平野雅巳・江西浩一郎・進藤宗洋・清永明, 中敷に重量負荷した靴の生活介入が高齢者の下肢筋量および歩容に及ぼす影響, 体力科学, 61(5), 469-467, 2012.