Faculty Profiles - FUJII Keisuke

Papers - FUJII Keisuke

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Supervised sequential pattern mining of event sequences in sport to identify important patterns of play: An application to rugby union Reviewed

Rory Bunker, Keisuke Fujii, Hiroyuki Hanada, Ichiro Takeuchi

PLOS ONE Vol. 16 ( 9 ) page： e0256329 - e0256329 2021.9

Language：English Publishing type：Research paper (scientific journal) Publisher：Public Library of Science (PLoS)

Given a set of sequences comprised of time-ordered events, sequential pattern mining is useful to identify frequent subsequences from different sequences or within the same sequence. However, in sport, these techniques cannot determine the importance of particular patterns of play to good or bad outcomes, which is often of greater interest to coaches and performance analysts. In this study, we apply a recently proposed supervised sequential pattern mining algorithm called safe pattern pruning (SPP) to 490 labelled event sequences representing passages of play from one rugby team’s matches in the 2018 Japan Top League season. We obtain patterns that are the most discriminative between scoring and non-scoring outcomes from both the team’s and opposition teams’ perspectives using SPP, and compare these with the most frequent patterns obtained with well-known unsupervised sequential pattern mining algorithms when applied to subsets of the original dataset, split on the label. From our obtained results, line breaks, successful line-outs, regained kicks in play, repeated phase-breakdown play, and failed exit plays by the opposition team were found to be the patterns that discriminated most between the team scoring and not scoring. Opposition team line breaks, errors made by the team, opposition team line-outs, and repeated phase-breakdown play by the opposition team were found to be the patterns that discriminated most between the opposition team scoring and not scoring. It was also found that, probably because of the supervised nature and pruning/safe-screening mechanisms of SPP, compared to the patterns obtained by the unsupervised methods, those obtained by SPP were more sophisticated in terms of containing a greater variety of events, and when interpreted, the SPP-obtained patterns would also be more useful for coaches and performance analysts.

DOI： 10.1371/journal.pone.0256329

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Flexible prediction of opponent motion with internal representation in interception behavior Reviewed

Kazushi Tsutsui, Keisuke Fujii, Kazutoshi Kudo, Kazuya Takeda

Biological Cybernetics 2021.8

Language：English Publishing type：Research paper (scientific journal) Publisher：Springer Science and Business Media LLC

<title>Abstract</title>Skilled interception behavior often relies on accurate predictions of external objects because of a large delay in our sensorimotor systems. To deal with the sensorimotor delay, the brain predicts future states of the target based on the current state available, but it is still debated whether internal representations acquired from prior experience are used as well. Here we estimated the predictive manner by analyzing the response behavior of a pursuer to a sudden directional change of the evasive target, providing strong evidence that prediction of target motion by the pursuer was incompatible with a linear extrapolation based solely on the current state of the target. Moreover, using neural network models, we validated that nonlinear extrapolation as estimated was computationally feasible and useful even against unknown opponents. These results support the use of internal representations in predicting target motion, suggesting the usefulness and versatility of predicting external object motion through internal representations.

DOI： 10.1007/s00422-021-00891-9

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Other Link： https://link.springer.com/article/10.1007/s00422-021-00891-9/fulltext.html

Understanding Others' Roles Based on Perspective Taking in Coordinated Group Behavior Reviewed

Jun Ichikawa, Keisuke Fujii

Proceedings of the Annual Meeting of the Cognitive Science Society Vol. 43 page： 1285 - 1291 2021.8

Extraction of swing motion contributing to prediction of shuttle drop position in badminton Reviewed

Tatsuya Yoshikawa, Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii

30th International Joint Conference on Artificial Intelligence (IJCAI-21) workshop on AI for Sports Analytics (AISA) 2021.8

Investigation of roles in group behavior using a coordinative drawing task Reviewed

Ichikawa Jun, Fujii Keisuke

Cognitive Studies: Bulletin of the Japanese Cognitive Science Society Vol. 28 ( 1 ) page： 170 - 173 2021.3

Quantitative analysis of spontaneous sociality in children's group behavior during nursery activity. Reviewed International journal

Jun Ichikawa, Keisuke Fujii, Takayuki Nagai, Takashi Omori, Natsuki Oka

PloS one Vol. 16 ( 2 ) page： e0246041 2021.2

Language：English Publishing type：Research paper (scientific journal)

Sociality is the tendency to spontaneously interact with others to establish and maintain relationships. Some approaches, including questionnaires, tests, controlled experiments, and qualitative field research, cannot capture complex social interactions, such as in children during nursery activities, because of problems with ecological validity and the labor cost of analysis. Here, we introduced a new methodology for the quantitative analysis of spontaneous social movement and investigated children's group behavior using position data. We periodically visited a nursery and recorded videos of eurhythmics, in which children move in tune with music, in different classes. The results revealed that children in the six-year-old class approached others in a short period of time (within one second) and established group behavior like that in a game of tag. It can be interpreted that such social behavior may include actions related to the cognition of anticipating others' behaviors in a complex situation. Although only a small amount of data could be acquired, this study suggests one of the characteristics of social behaviors in the classroom considering an ecological approach.

DOI： 10.1371/journal.pone.0246041

Trajectory prediction with imitation learning reflecting defensive evaluation in team sports. Reviewed

Masakiyo Teranishi, Keisuke Fujii, Kazuya Takeda

IEEE 9th Global Conference on Consumer Electronics (GCCE 2020) page： 124 - 125 2020.12

Cognition and interpersonal coordination of patients with schizophrenia who have sports habits. Reviewed International journal

Keisuke Fujii, Yujiro Yoshihara, Yukiko Matsumoto, Keima Tose, Hideaki Takeuchi, Masanori Isobe, Hiroto Mizuta, Daisuke Maniwa, Takehiko Okamura, Toshiya Murai, Yoshinobu Kawahara, Hidehiko Takahashi

PloS one Vol. 15 ( 11 ) page： e0241863 2020.11

Language：English Publishing type：Research paper (scientific journal)

Team sports activities are effective for improving the negative symptoms and cognitive functions in patients with schizophrenia. However, the interpersonal coordination during the sports and visual cognition of patients with schizophrenia who have team sports habits are unknown. The main objectives of this study were to test two hypotheses: first, patients with schizophrenia perform the skill requiring ball passing and receiving worse than healthy controls; and second, the patients will be impaired in these functionings in accordance with the previous studies regarding schizophrenia in general. Twelve patients with schizophrenia and 15 healthy controls, who had habits in football, participated in this study. The participants performed three conventional cognitive tests and a 3-vs-1 ball possession task to evaluate their interpersonal coordination. The results showed that in the 3-vs-1 possession task, the displacement in the pass angle for the patients was significantly smaller than that for the control. The recall in the complex figure test, the performance in the trail making test, and that in the five-choice reaction task for the patients were worse than those for the control. Moreover, we found the significant partial correlations in the patients between the extradimensional shift error and the pass angle as well as between the time in the trail making test and the displacement in the pass angle, whereas there was no significant correlation in the control group. This study clarified the impaired interpersonal coordination during team sports and the visual cognition of patients with schizophrenia who have team sports habits.

DOI： 10.1371/journal.pone.0241863

Succinct Trit-array Trie for Scalable Trajectory Similarity Search. Reviewed

Shunsuke Kanda, Koh Takeuchi, Keisuke Fujii, Yasuo Tabei

Proceedings of 28th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2020) page： 518 - 529 2020.11

Proposal of a research approach for discussion of a dynamic coordination mechanism: Investigation of anticipating others' behaviors and adaptation through quantitative analysis of group behavior Reviewed

Ichikawa Jun, Fujii Keisuke

Cognitive Studies: Bulletin of the Japanese Cognitive Science Society Vol. 27 ( 3 ) page： 377 - 385 2020.9

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Japanese Cognitive Science Society

<p>In this paper, we propose a research approach that is used in cognitive science to investigate more complex coordination mechanisms between three or more people. That is, we propose an approach that uses position data to quantitatively analyze group behavior and to link these characteristics with the cognition of anticipating others' behaviors. It is important for coordination to anticipate others' behaviors and to adapt one's own body movement to others based on anticipation. We highlight previous studies on problem solving and learning in cognitive science which have investigated interaction processes from verbal protocols during task implementation and indicated the importance of understanding others' perspectives. Additionally, recent cognitive models of estimating others' intentions and anticipating others' behaviors during interactions using non-verbal information such as eye movement, posture, and gesture, have been investigated. Considering these previous studies, we focus on group behavior and propose to apply the new approach mentioned above to discuss a mechanism of more complex coordination. We also refer to some studies of biological group behaviors in biology, artificial life, and sports science, and demonstrate a potential issue that such papers did not focus on the cognition related to coordinative group behaviors. This paper illustrates an example of discussing interactions with others, to which the new approach is applied. Our previous study here analyzed children's group behavior during nursery activities using position data and linked these characteristics with the cognitive development of anticipating others' behaviors based on spontaneous sociality. However, it is difficult to investigate some details of group behavior due to the limitation of field measurement, for example, the accuracy of a child's anticipation and whether a child moved based upon anticipation. In future work, it is important to analyze controlled group behavior and to indicate accuracy of individuals' anticipation from movement data to solve these problems.</p>

DOI： 10.11225/cs.2020.026

CiNii Research

COGNITION AND SOCIAL BEHAVIORS IN SPORTS FOR PATIENTS WITH SCHIZOPHRENIA ENGAGED IN SPORTS HABITS Reviewed

Yoshihara Yujiro, Fujii Keisuke, Murai Toshiya, Takahashi Hidehiko

SCHIZOPHRENIA BULLETIN Vol. 46 page： S128 - S128 2020.4

Practice Motions Performed During Preperformance Preparation Drive the Actual Motion of Golf Putting Reviewed

Yumiko Hasegawa, Akito Miura, Keisuke Fujii

Frontiers in Psychology Vol. 11 page： Article 513 2020.3

Practice Motions Performed During Preperformance Preparation Drive the Actual Motion of Golf Putting Reviewed

Yumiko Hasegawa, Akito Miura, Keisuke Fujii

Frontier in Psychology Vol. 11 ( 513 ) page： https://doi.org/10.3389/fpsyg.2020.00513 2020.3

Dynamic mode decomposition via dictionary learning for foreground modeling in videos Reviewed

Israr Ul Haq, Keisuke Fujii, Yoshinobu Kawahara

15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP'20) Vol. 5 ( - ) page： 476-483 2020.3

Physically-interpretable classification of network dynamics for complex collective motions Reviewed

Keisuke Fujii, Naoya Takeishi, Motokazu Hojo, Yuki Inaba, Yoshinobu Kawahara

Scientific Reports Vol. 10 ( 3005 ) page： https://doi.org/10.1038/s41598-020-58064-w 2020.2

協調に関する議論に向けたアプローチの提案－集団運動からみる他者の行動予測と適応－ Reviewed

市川淳, 藤井慶輔

認知科学 Vol. 27 ( 3 ) page： xx - xx 2020

Succinct Trie Index for Fast and Memory-Efficient Trajectory Similarity Search Reviewed

KANDA Shunsuke, TAKEUCHI Koh, FUJII Keisuke, TABEI Yasuo

Proceedings of the Annual Conference of JSAI Vol. 2020 ( 0 ) page： 2C4OS7a01 - 2C4OS7a01 2020

Publishing type：Research paper (scientific journal) Publisher：The Japanese Society for Artificial Intelligence

<p>This paper proposes an efficient similarity search method for massive collections of trajectories. This method enables fast similarity searches by leveraging locality sensitive hashing and tries. To achieve memory efficiency, we propose two novel techniques of node reduction and a space-efficient representation for tries. We experimentally test our method on its ability to retrieve similar trajectories for a query from large collections of trajectories and show that our method performs superiorly with respect to search time and memory efficiency.</p>

DOI： 10.11517/pjsai.JSAI2020.0_2C4OS7a01

「現場と研究の橋渡し」（ 2 ）にあたって

藤井慶輔, 永田直也

バスケットボール研究 Vol. 6 ( 0 ) page： 1 - 2 2020

Dynamic mode decomposition via dictionary learning for foreground modeling in videos Reviewed

Israr Ul Haq, Keisuke Fujii, Yoshinobu Kawahara

VISIGRAPP 2020 - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications Vol. 5 page： 476 - 483 2020

Language：English Publishing type：Research paper (international conference proceedings) Publisher：SciTePress

Accurate extraction of foregrounds in videos is one of the challenging problems in computer vision. In this study, we propose dynamic mode decomposition via dictionary learning (dl-DMD), which is applied to extract moving objects by separating the sequence of video frames into foreground and background information with a dictionary learned using block patches on the video frames. Dynamic mode decomposition (DMD) decomposes spatiotemporal data into spatial modes, each of whose temporal behavior is characterized by a single frequency and growth/decay rate and is applicable to split a video into foregrounds and the background when applying it to a video. And, in dl-DMD, DMD is applied on coefficient matrices estimated over a learned dictionary, which enables accurate estimation of dynamical information in videos. Due to this scheme, dl-DMD can analyze the dynamics of respective regions in a video based on estimated amplitudes and temporal evolution over patches. The results on synthetic data exhibit that dl-DMD outperforms the standard DMD and compressed DMD (cDMD) based methods. Also, the results of an empirical performance evaluation in the case of foreground extraction from videos using publicly available dataset demonstrates the effectiveness of the proposed dl-DMD algorithm and achieves a performance that is comparable to that of the state-of-the-art techniques in foreground extraction tasks.

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Motor control of practice and actual strokes by professional and amateur golfers differ but feature a distance-dependent control strategy. Reviewed International journal

Yumiko Hasegawa, Keisuke Fujii, Akito Miura, Keiko Yokoyama, Yuji Yamamoto

European journal of sport science Vol. 19 ( 9 ) page： 1204 - 1213 2019.10

Language：English Publishing type：Research paper (scientific journal)

We explored how practice and actual putting strokes differed between professionals and high-level golf amateurs, and how practice strokes reflected subtle differences in putting distances. We analysed swing amplitude, impact velocity, and acceleration profile of the club-head. The acceleration profiles showed that the motor control pattern of the practice stroke differed from that of the actual stroke. To clarify the effects of different putting distances on the practice stroke and to analyse how much the actual stroke could be explained by the practice stroke, we conducted individual regression analyses. The practice strokes of all participants could be divided into three strategies and five types by the coefficient of determination and the slope. This implies that the purpose of the practice stroke varied among golfers. Most golfers used the individual velocity criteria in their practice strokes, which resulted in different putting distances based on their criteria. Unexpectedly, we found no significant difference in skill level between professionals and high-level amateurs. The results of this study imply that the practice stroke does not duplicate the actual stroke, even for professional golfers with excellent skills. However, most high-level golfers adopted distance-dependent control strategies for slightly different putting distances.

DOI： 10.1080/17461391.2019.1595159

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Papers - FUJII Keisuke