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Easily available information technology based on the data-driven models for social biomechanics

Research Project

Project/Area Number 20H04075
Research Category

Grant-in-Aid for Scientific Research (B)

Allocation TypeSingle-year Grants
Section一般
Review Section Basic Section 59020:Sports sciences-related
Research InstitutionNagoya University

Principal Investigator

Fujii Keisuke  名古屋大学, 情報学研究科, 准教授 (70747401)

Co-Investigator(Kenkyū-buntansha) 石黒 祥生  東京大学, 大学院情報学環・学際情報学府, 准教授 (20769418)
Project Period (FY) 2020-04-01 – 2023-03-31
Project Status Completed (Fiscal Year 2023)
Budget Amount *help
¥16,900,000 (Direct Cost: ¥13,000,000、Indirect Cost: ¥3,900,000)
Fiscal Year 2022: ¥5,980,000 (Direct Cost: ¥4,600,000、Indirect Cost: ¥1,380,000)
Fiscal Year 2021: ¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
Fiscal Year 2020: ¥5,850,000 (Direct Cost: ¥4,500,000、Indirect Cost: ¥1,350,000)
Keywords機械学習 / 集団運動 / マルチエージェント / 深層学習 / スポーツ / 移動軌跡 / インタラクション / 時系列データ / 動的システム / スポーツ科学 / 移動系列 / 身体運動
Outline of Research at the Start

計測技術の発展を背景に、実際の集団スポーツの位置計測が可能になり、そのバイオメカニクス的解析手法の重要性が高まっている。しかし集団スポーツにおいては、行動の選択肢が膨大な組合せになることにより、運動方程式のような将来の運動を予測できるモデルを作ることが難しく、またその理解可能な形式への変換や現場応用も進んでいない。
そこで本研究は、集団スポーツの位置データを用いて、①軌道生成や②理解可能なクラスタリング等の分析を行うデータ駆動的モデリングを行い、チーム戦術の機能や原理を理解・発見する研究を行う。また③現場の監督・実践・観察者が理解・利用しやすい基盤的技術を開発する。

Outline of Final Research Achievements

In this project, we conducted research using data-driven modeling with location data from team sports. The purpose of this research is to understand the functions and principles of team tactics and to develop a predictive model that incorporates tactical evaluation. In the first year, we developed a trajectory prediction model using imitation learning that takes into account soccer defensive tactics, and showed improvement in defensive indicators. From the following year onwards, we conducted multiple studies on movement prediction and player evaluation such as in badminton and soccer, which were accepted by several international conferences and journals. In particular, it is a new approach that estimates the player's action value function from data and evaluates decision making. These research results will contribute to advances in data analysis and modeling for team sports.

Academic Significance and Societal Importance of the Research Achievements

本研究による集団スポーツのデータ駆動的モデリングは、チームの戦術的評価を取り入れた予測モデルの開発を実現し、スポーツ科学とデータ科学の横断的領域において重要な課題に取り組んだ。サッカーやバドミントンなどにおける戦術的予測モデルと選手評価は、コーチング戦略の最適化、選手パフォーマンスの向上、試合解析の精度を高めることに寄与することが期待される。また、意思決定プロセスの客観的評価手法の開発は、トレーニング方法の革新や戦術教育の向上にも貢献し、スポーツ界全体の競技レベルの向上を促進する社会的意義も大きいと考えられる。

Report

(4 results)
  • 2023 Final Research Report ( PDF )
  • 2022 Annual Research Report
  • 2021 Annual Research Report
  • 2020 Annual Research Report
  • Research Products

    (30 results)

All 2023 2022 2021 2020

All Journal Article (14 results) (of which Int'l Joint Research: 1 results,  Peer Reviewed: 14 results,  Open Access: 11 results) Presentation (16 results) (of which Int'l Joint Research: 9 results,  Invited: 3 results)

  • [Journal Article] Action Valuation of On- and Off-Ball Soccer Players Based on Multi-Agent Deep Reinforcement Learning2023

    • Author(s)
      Hiroshi Nakahara, Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii
    • Journal Title

      IEEE Access

      Volume: 11 Pages: 131237-131244

    • DOI

      10.1109/access.2023.3336425

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Multi-Agent Deep-Learning Based Comparative Analysis of Team Sport Trajectories2023

    • Author(s)
      Zhang Ziyi; Rory Bunker; Kazuya Takeda; Keisuke Fujii
    • Journal Title

      IEEE Access

      Volume: 21 Pages: 43305-43315

    • DOI

      10.1109/access.2023.3269287

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Extracting proficiency differences and individual characteristics in golfers' swing using single-video markerless motion analysis2023

    • Author(s)
      Yamamoto Kota、Hasegawa Yumiko、Suzuki Tomohiro、Suzuki Hiroo、Tanabe Hiroko、Fujii Keisuke
    • Journal Title

      Frontiers in Sports and Active Living

      Volume: 5 Pages: 1272038-1272038

    • DOI

      10.3389/fspor.2023.1272038

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Estimation of control area in badminton doubles with pose information from top and back view drone videos2023

    • Author(s)
      Ning Ding, Kazuya Takeda, Wenhui Jin, Yingjiu Bei & Keisuke Fujii
    • Journal Title

      Multimedia Tools and Applications

      Volume: 83 Issue: 8 Pages: 24777-24793

    • DOI

      10.1007/s11042-023-16362-1

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Deep Reinforcement Learning in a Racket Sport for Player Evaluation With Technical and Tactical Contexts2022

    • Author(s)
      Ding Ning, Kazuya Takeda, Keisuke Fujii
    • Journal Title

      IEEE Access

      Volume: 10 Pages: 54764-54772

    • DOI

      10.1109/access.2022.3175314

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Evaluation of creating scoring opportunities for teammates in soccer via trajectory prediction2022

    • Author(s)
      Masakiyo Teranishi, Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii
    • Journal Title

      9th Workshop on Machine Learning and Data Mining for Sports Analytics 2022 (MLSA'22) co-located with ECML-PKDD'22

      Volume: 1783 Pages: 53-73

    • DOI

      10.1007/978-3-031-27527-2_5

    • ISBN
      9783031275265, 9783031275272
    • Related Report
      2022 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Evaluation of soccer team defense based on prediction models of ball recovery and being attacked: A pilot study2022

    • Author(s)
      Toda Kosuke、Teranishi Masakiyo、Kushiro Keisuke、Fujii Keisuke
    • Journal Title

      PLOS ONE

      Volume: 17 Issue: 1 Pages: e0263051-e0263051

    • DOI

      10.1371/journal.pone.0263051

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Extraction of swing motion contributing to prediction of shuttle drop position in badminton2021

    • Author(s)
      Tatsuya Yoshikawa, Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii
    • Journal Title

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

      Volume: -

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Supervised sequential pattern mining of event sequences in sport to identify important patterns of play: An application to rugby union2021

    • Author(s)
      Bunker Rory、Fujii Keisuke、Hanada Hiroyuki、Takeuchi Ichiro
    • Journal Title

      PLOS ONE

      Volume: 16 Issue: 9 Pages: e0256329-e0256329

    • DOI

      10.1371/journal.pone.0256329

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Frechet Kernels for Trajectory Data Analysis2021

    • Author(s)
      Koh Takeuchi, Masaaki Imaizumi, Shunsuke Kanda, Keisuke Fujii, Masakazu Ishihata, Takuya Maekawa, Ken Yoda & Yasuo Tabei
    • Journal Title

      In Proceedings of 29th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2021)

      Volume: - Pages: 221-224

    • DOI

      10.1145/3474717.3483949

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Quantitative analysis of spontaneous sociality in children’s group behavior during nursery activity2021

    • Author(s)
      Ichikawa Jun、Fujii Keisuke、Nagai Takayuki、Omori Takashi、Oka Natsuki
    • Journal Title

      PLOS ONE

      Volume: 16 Issue: 2 Pages: 0246041-0246041

    • DOI

      10.1371/journal.pone.0246041

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Data-driven Analysis for Understanding Team Sports Behaviors2021

    • Author(s)
      Keisuke Fujii
    • Journal Title

      Journal of Robotics and Mechatronics

      Volume: -

    • NAID

      130008054336

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Cognition and interpersonal coordination of patients with schizophrenia who have sports habits2020

    • Author(s)
      Fujii Keisuke、Yoshihara Yujiro、Matsumoto Yukiko、Tose Keima、Takeuchi Hideaki、Isobe Masanori、Mizuta Hiroto、Maniwa Daisuke、Okamura Takehiko、Murai Toshiya、Kawahara Yoshinobu、Takahashi Hidehiko
    • Journal Title

      PLOS ONE

      Volume: 15 Issue: 11 Pages: e0241863-e0241863

    • DOI

      10.1371/journal.pone.0241863

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Trajectory prediction with imitation learning reflecting defensive evaluation in team sports2020

    • Author(s)
      TERANISHI Masakiyo、FUJII Keisuke、TAKEDA Kazuya
    • Journal Title

      2020 IEEE 9th Global Conference on Consumer Electronics (GCCE)

      Volume: 1 Pages: 124-125

    • DOI

      10.1109/gcce50665.2020.9291841

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Presentation] Team sports analytics using machine learning2023

    • Author(s)
      Keisuke Fujii
    • Organizer
      AI symposium at 29th Congress of International Society of Biomechanics (ISB)
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] Automatic Edge Error Judgment in Figure Skating Using 3D Pose Estimation from a Monocular Camera and IMUs2023

    • Author(s)
      Ryota TANAKA, Tomohiro SUZUKI, Kazuya TAKEDA, Keisuke FUJII
    • Organizer
      MMSports '23: Proceedings of the 6th International Workshop on Multimedia Content Analysis in Sports
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Score Prediction Using Multiple Object Tracking for Analyzing Movements in 2-vs-2 Handball2023

    • Author(s)
      Ren Kobayashi, Rikuhei Umemoto, Kazuya Takeda, Keisuke Fujii
    • Organizer
      IEEE 12th Global Conference on Consumer Electronics (GCCE 2023)
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Evaluation of Team Defense Positioning by Computing Counterfactuals using StatsBomb 360 data2023

    • Author(s)
      Rikuhei Umemoto, Keisuke Fujii
    • Organizer
      StatsBomb Conference 2023
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Defensive team analysis in the 2022 World Cup based on the event prediction2023

    • Author(s)
      Rikuhei Umemoto, Keisuke Fujii, Kazushi Tsutsui
    • Organizer
      10th MathSport International Conference
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Prediction of shot type and hit location based on pose2023

    • Author(s)
      Tatsuya Yoshikawa, Ning Ding, Kazuya Takeda & Keisuke Fujii
    • Organizer
      MathSport International
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Visual analysis of control area in badminton doubles using drone video dataset2023

    • Author(s)
      Ning Ding, Kazuya Takeda, Yingjiu Bei & Keisuke Fujii
    • Organizer
      MathSport International
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Player evaluation in a racket sport via deep reinforcement learning with technical and tactical contexts2022

    • Author(s)
      Ning DING, Kazuya TAKEDA, Keisuke FUJII
    • Organizer
      The 36th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI 2022)
    • Related Report
      2022 Annual Research Report
  • [Presentation] Automatic screen-play classification in basketball via semi-supervised learning,2022

    • Author(s)
      Ziyi Zhang, Kazuya Takeda, Keisuke Fujii
    • Organizer
      MathSport International
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 軌道予測に基づいたオフボールの得点機会を創出する選手の評価2022

    • Author(s)
      寺西真聖, 筒井和詩, 武田一哉, 藤井慶輔
    • Organizer
      第11回日本統計学会スポーツ統計分科会スポーツデータ解析コンペティション
    • Related Report
      2021 Annual Research Report
  • [Presentation] バドミントンにおけるシャトル落下位置予測に寄与するスイング動作の抽出2021

    • Author(s)
      吉川達也, 藤井慶輔, 武田一哉
    • Organizer
      第3回彗ひろば(バイオメカニクス研究会)
    • Related Report
      2021 Annual Research Report
  • [Presentation] 予測に基づく集団行動系列の評価:サッカーのチーム守備への適用2021

    • Author(s)
      戸田康介, 寺西真聖, 久代恵介, 藤井慶輔
    • Organizer
      2021年度人工知能学会全国大会(第35回)
    • Related Report
      2021 Annual Research Report
  • [Presentation] 集団スポーツの戦術に関するデータ解析手法2021

    • Author(s)
      藤井 慶輔
    • Organizer
      第6回愛媛大学DS研究セミナー
    • Related Report
      2020 Annual Research Report
    • Invited
  • [Presentation] 部分観測過程におけるデータ駆動的エージェントモデリング2020

    • Author(s)
      藤井慶輔
    • Organizer
      日本認知科学会第37回大会 OS2 認知的インタラクションフレームワークの構築
    • Related Report
      2020 Annual Research Report
    • Invited
  • [Presentation] Data-driven modeling in complex collective motions for social biomechanics2020

    • Author(s)
      藤井慶輔
    • Organizer
      第2回彗ひろば(バイオメカニクス研究会)
    • Related Report
      2020 Annual Research Report
  • [Presentation] Trajectory prediction with imitation learning reflecting defensive evaluation in team sports2020

    • Author(s)
      Masakiyo Teranishi, Keisuke Fujii, Kazuya Takeda
    • Organizer
      IEEE 9th Global Conference on Consumer Electronics (GCCE 2020)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research

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Published: 2020-04-28   Modified: 2025-01-30  

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