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Development of a motor learning support algorithm based on the functional brain network analysis during cooperative motor learning

Research Project

Project/Area Number 17KK0064
Research Category

Fund for the Promotion of Joint International Research (Fostering Joint International Research)

Allocation TypeMulti-year Fund
Research Field Developmental mechanisms and the body works
Research InstitutionTokyo University of Agriculture and Technology

Principal Investigator

KONDO Toshiyuki  東京農工大学, 工学(系)研究科(研究院), 教授 (60323820)

Project Period (FY) 2018 – 2020
Project Status Completed (Fiscal Year 2020)
Budget Amount *help
¥13,780,000 (Direct Cost: ¥10,600,000、Indirect Cost: ¥3,180,000)
Keywordsロボット / 協調運動学習 / エージェント / 脳波解析 / 事象関連脱同期 / 運動主体感 / 運動学習 / 脳波ネットワーク解析
Outline of Final Research Achievements

When learning a new skill through unknown environment, it is helpful to have an expert guidance. It is fundamentally based on the mutual interactions. From the perspective of the beginner, one needs to face dual unknown dynamics of environment and motor coordination of the expert. This inevitably involves the process of adaptation to the partner. Within a cooperative visuo-haptic motor task, we asked the novice participants to control the virtual mass toward the specified target under unknown external force field as an individual or with an expert or another novice. Experimental results suggested; (1) Peer-to-peer interactions among beginners to achieve a common goal enhanced the motor learning most, (2) Individuals practicing on their own showed the better motor learning than practicing under the expert’s guidance. Regarding the adaptability, peer-to-peer interactions induced higher adaptability to a new partner than the novice-to-expert interactions.

Academic Significance and Societal Importance of the Research Achievements

ロボットリハビリテーションのように人がロボットと協調して未知なる運動課題を経験・学習する場合,学習者は環境(課題)と協調相手(ロボット)という二つの未知ダイナミクスが重ね合わされた対象の下で運動学習する必要がある.本研究の結果,まずロボットのダイナミクスに習熟した後に二重ダイナミクスを経験する手順をとることで,学習後に両者を分離して獲得できたことから,ロボットリハビリテーションにおいても,ロボットの支援戦略を先に体得させた後にリハビリ課題の難易度を高めることが有効であると考えられる.また,運動下の脳波解析法はリハビリ下の患者の状態を類型化して運動支援戦略を変更できる可能性がある.

Report

(4 results)
  • 2020 Annual Research Report   Final Research Report ( PDF )
  • 2019 Research-status Report
  • 2018 Research-status Report
  • Research Products

    (16 results)

All 2020 2019 2018 Other

All Int'l Joint Research (1 results) Journal Article (4 results) (of which Int'l Joint Research: 3 results,  Peer Reviewed: 4 results,  Open Access: 3 results) Presentation (9 results) (of which Int'l Joint Research: 4 results) Remarks (2 results)

  • [Int'l Joint Research] University of Reading(United Kingdom)2018

    • Related Report
      2020 Annual Research Report
  • [Journal Article] EEG dynamical network analysis method reveals the neural signature of visual-motor coordination2020

    • Author(s)
      Li Xinzhe、Mota Bruno、Kondo Toshiyuki、Nasuto Slawomir、Hayashi Yoshikatsu
    • Journal Title

      PLOS ONE

      Volume: 15 Issue: 5 Pages: e0231767-e0231767

    • DOI

      10.1371/journal.pone.0231767

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Collective almost synchronization-based model to extract and predict features of EEG signals2020

    • Author(s)
      Nguyen Phuong Thi Mai、Hayashi Yoshikatsu、Baptista Murilo Da Silva、Kondo Toshiyuki
    • Journal Title

      Scientific Reports

      Volume: 10 Issue: 1 Pages: 16342-16342

    • DOI

      10.1038/s41598-020-73346-z

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Human–Robot Cooperative Motor Learning2020

    • Author(s)
      Kondo Toshiyuki、Hayashi Yoshikatsu
    • Journal Title

      Journal of the Robotics Society of Japan

      Volume: 38 Issue: 10 Pages: 895-900

    • DOI

      10.7210/jrsj.38.895

    • NAID

      130007967867

    • ISSN
      0289-1824, 1884-7145
    • Related Report
      2020 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Temporal Structure in Haptic Signaling Under a Cooperative Task2019

    • Author(s)
      Thorne Nicolas、Honisch Juliane J.、Kondo Toshiyuki、Nasuto Slawomir、Hayashi Yoshikatsu
    • Journal Title

      Frontiers in Human Neuroscience

      Volume: 13

    • DOI

      10.3389/fnhum.2019.00372

    • Related Report
      2019 Research-status Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Presentation] How Does Intervening Strategy in Cooperative Motor Task Affect Individual Motor Adaptation?2020

    • Author(s)
      Yuya Yoshikawa, Yoshikatsu Hayashi, Shiro Yano, and Toshiyuki Kondo
    • Organizer
      The 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 把持運動下の筋力発揮パターンと視覚フィードバックの違いが事象関連脱同期に及ぼす影響2020

    • Author(s)
      中屋敷弘晟, 戸敷 創, 林 叔克, 矢野史朗, 近藤敏之
    • Organizer
      第32回自律分散システム・シンポジウム
    • Related Report
      2019 Research-status Report
  • [Presentation] Estimation of brain dynamics under visuomotor task using functional connectivity analysis based on graph theory2019

    • Author(s)
      Nguyen Thi Mai Phuong, Xinzhe Li, Yoshikatsu Hayashi, Shiro Yano, Toshiyuki Kondo
    • Organizer
      The 19th annual IEEE International Conference on Bioinformatics and Bioengineering (BIBE 2019), Athens, Greece (Oct 28-30, 2019).
    • Related Report
      2019 Research-status Report
  • [Presentation] Effects of motor load and visual feedback on event-related desynchronization2019

    • Author(s)
      Kosei Nakayashiki, Hajime Tojiki, Yoshikatsu Hayashi, Shiro Yano, Toshiyuki Kondo
    • Organizer
      第3回ヒト脳イメージング研究会
    • Related Report
      2019 Research-status Report
  • [Presentation] Development of a Fugl-Meyer Assessment Evaluation Support System using Wearable Mocap2019

    • Author(s)
      Masaya Watanabe, Naoya Yamamoto, Yuki Ishii, Tetsunari Inamura, Fuminari Kaneko, Shiro Yano, Toshiyuki Kondo
    • Organizer
      The 41th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS)
    • Related Report
      2019 Research-status Report
  • [Presentation] The proposal of a new diagnostic criterion for schizophrenia focused on an abnormal sense of agency2019

    • Author(s)
      Yuuki Murata, Shiro Yano, Toshiyuki Kondo, and Takaki Maeda
    • Organizer
      The 41th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS)
    • Related Report
      2019 Research-status Report
  • [Presentation] Motor Learning through Cooperative Motor Experience2018

    • Author(s)
      Kotaro Nishimura, Yoshikatsu Hayashi, Shiro Yano, and Toshiyuki Kondo
    • Organizer
      IEEE 2018 International Symposium on Micro-NanoMechatronics and Human Science (MHS2018)
    • Related Report
      2018 Research-status Report
    • Int'l Joint Research
  • [Presentation] Emergence of long range temporal correlations in cooperative tasks2018

    • Author(s)
      Nicolas Thorne, Juliane Honisch, Toshiyuki Kondo, Slawomir Nasuto, Yoshikatsu Hayashi
    • Organizer
      The Second International Symposium on Embodied-Brain Systems Science
    • Related Report
      2018 Research-status Report
    • Int'l Joint Research
  • [Presentation] Motor planning attenuates event-related spectral power of EEG2018

    • Author(s)
      Toshiyuki Kondo, Hajime Tojiki, Yoshikatsu Hayashi, and Shiro Yano
    • Organizer
      The 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS)
    • Related Report
      2018 Research-status Report
    • Int'l Joint Research
  • [Remarks] Biologically-inspired Computing Laboratory

    • URL

      https://www.livingsyslab.org/

    • Related Report
      2020 Annual Research Report 2019 Research-status Report
  • [Remarks] Biologically-inspired Computing Laboratory

    • URL

      https://www.livingsyslab.org

    • Related Report
      2018 Research-status Report

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Published: 2018-01-25   Modified: 2022-01-27  

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