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Development of training system for facilitating surface myoelectric signals used for rehabilitation supporting robots

Research Project

Project/Area Number 17K01491
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Rehabilitation science/Welfare engineering
Research InstitutionOkayama University of Science

Principal Investigator

Hayashi Ryota  岡山理科大学, 工学部, 教授 (40288949)

Co-Investigator(Kenkyū-buntansha) 吉田 浩治  岡山理科大学, 工学部, 教授 (00254433)
衣笠 哲也  岡山理科大学, 工学部, 教授 (20321474)
Project Period (FY) 2017-04-01 – 2020-03-31
Project Status Completed (Fiscal Year 2019)
Budget Amount *help
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2019: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2018: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Fiscal Year 2017: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Keywords表面筋電位 / 知能ロボティクス / リハビリテーション / 医療・福祉 / 訓練支援 / 技能獲得 / メカトロニクス / 機械力学・制御
Outline of Final Research Achievements

In this study, we constructed a simple 1-link robot arm which is controlled by estimating the wrist motion from the surface myoelectric signals on the forearm. We made several training experiments for skill acquisition of robot arm manipulation with and without physical constraint of the wrist. From the results of these training experiments, it was confirmed that the training with physical constraint of the wrist can facilitate the skill acquisition of the robot manipulations using surface myoelectric signals. We additionally made several training experiments for skill acquisition of robot arm manipulation with and without the assist of the automatic control. Then, we investigated the differences in facilitation effects of skill acquisition comparing with the results from these training experiments. Finally, it was confirmed that even beginners who are unaccustomed to the training can manipulate the robot arm and continue the training with the assist of the automatic control.

Academic Significance and Societal Importance of the Research Achievements

表面筋電位信号で操縦するロボットを用いて、片麻痺患者のリハビリ訓練を支援するシステムの有用性が認められつつあるが、患者の意図したとおりにロボットが動作するようになるためには、患者の多大な努力と訓練が必要となっている。本研究では、表面筋電位を発生させる技能の獲得を促す一つの条件を明らかにすることができ、さらに訓練時の負担を軽減し継続的な訓練を可能にする手法を示すことができた。本研究成果は、新しいリハビリ訓練システムの発展と適用範囲の拡大に繋げることができると期待される。

Report

(4 results)
  • 2019 Annual Research Report   Final Research Report ( PDF )
  • 2018 Research-status Report
  • 2017 Research-status Report
  • Research Products

    (6 results)

All 2019 2018 2017

All Journal Article (1 results) (of which Open Access: 1 results) Presentation (5 results) (of which Int'l Joint Research: 1 results)

  • [Journal Article] On facilitating method for skill acquisition of robot arm manipulation using surface myoelectric signals2018

    • Author(s)
      R. Hayashi, T. Sawada, T. Kinugasa, and K. Yoshida
    • Journal Title

      Journal of Physics: Conference Series

      Volume: 1065 Pages: 1-4

    • DOI

      10.1088/1742-6596/1065/17/172004

    • Related Report
      2018 Research-status Report
    • Open Access
  • [Presentation] 表面筋電位を用いて操縦するロボットアームの操縦訓練支援システム - 訓練の難易度を段階的に変更する操縦訓練手法の提案 -2019

    • Author(s)
      下田 直樹,林 良太,衣笠 哲也,吉田 浩治
    • Organizer
      計測自動制御学会第20回システムインテグレーション部門講演会
    • Related Report
      2019 Annual Research Report
  • [Presentation] On facilitating method for skill acquisition of robot arm manipulation using surface myoelectric signals2018

    • Author(s)
      R. Hayashi, T. Sawada, T. Kinugasa, and K. Yoshida
    • Organizer
      XXII World Congress of the International Measurement Confederation
    • Related Report
      2018 Research-status Report
    • Int'l Joint Research
  • [Presentation] 表面筋電位で操縦するロボットアームの操縦訓練を支援するシステムの試作2018

    • Author(s)
      澤田拓弥,林良太,酒井孔士,山川権一郎,衣笠哲也,吉田浩治
    • Organizer
      計測自動制御学会第19回システムインテグレーション部門講演会
    • Related Report
      2018 Research-status Report
  • [Presentation] 筋電センサを用いたロボットアームの操縦技能獲得を促進する条件について2018

    • Author(s)
      佐渡功樹、林良太、澤田拓弥、幸田稜平、衣笠哲也、吉田浩治
    • Organizer
      日本機械学会中国四国支部第56期総会講演会
    • Related Report
      2017 Research-status Report
  • [Presentation] 表面筋電位で操縦するロボットアームの操縦技能獲得を支援する方法についての一考察2017

    • Author(s)
      澤田拓弥、林良太、幸田稜平、佐渡功樹、衣笠哲也、吉田浩治
    • Organizer
      計測自動制御学会第18回システムインテグレーション部門講演会
    • Related Report
      2017 Research-status Report

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Published: 2017-04-28   Modified: 2021-02-19  

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