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Development of an unconstrained automatic motion capture system for rehabilitation evaluation

Research Project

Project/Area Number 15K01411
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Rehabilitation science/Welfare engineering
Research InstitutionFukushima University

Principal Investigator

MASUDA Tadashi  福島大学, 共生システム理工学類, 教授 (00358003)

Co-Investigator(Kenkyū-buntansha) 森田 定雄  東京医科歯科大学, 医学部附属病院, 准教授 (20202426)
神野 哲也  東京医科歯科大学, 大学院医歯学総合研究科, 准教授 (90343152)
相澤 純也  東京医科歯科大学, 医学部附属病院, その他 (60376811)
Project Period (FY) 2015-04-01 – 2018-03-31
Project Status Completed (Fiscal Year 2017)
Budget Amount *help
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2017: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2015: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Keywordsリハビリテーション / 歩行 / 動作 / 評価 / モーションキャプチャ / 歩幅 / 距離画像 / 計測 / 動作計測 / モーションキャプチャー / キネクト / Kinect / 歩行計測 / 無拘束 / 立脚時間 / フットスイッチ
Outline of Final Research Achievements

A research was conducted to apply the markerless motion capture device Kinect to the filed of rehabilitation evaluation. Four Kinect devices were placed along the walkway. The skeleton positions detected by these Kinect devices were integrated and the human motion during 10 m walking was obtained. From the motion data, the step length and the walking speed were calculated. The depth images obtained with the Kinect infrared camera were processed to analyze the walking motion on a treadmill. The results were compared with those produced with the Kinect skeleton. Furthermore, a system for measuring the head motion during the Timed Up & Go Test was developed. The accuracy of the measured head positions was evaluated by comparing them with those obtained with a conventional 3 dimensional motion capture system.

Report

(4 results)
  • 2017 Annual Research Report   Final Research Report ( PDF )
  • 2016 Research-status Report
  • 2015 Research-status Report
  • Research Products

    (5 results)

All 2018 2017 2015

All Journal Article (1 results) (of which Peer Reviewed: 1 results,  Open Access: 1 results) Presentation (3 results) Patent(Industrial Property Rights) (1 results)

  • [Journal Article] 多視点距離画像撮影に基づいた歩行パラメータ推定の精度評価2018

    • Author(s)
      安川洵、増田正
    • Journal Title

      バイオメカニズム学会誌

      Volume: 42

    • NAID

      130007537363

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed / Open Access
  • [Presentation] キネクトによる歩行解析システムの開発2017

    • Author(s)
      斎藤捺樹、増田正
    • Organizer
      第18回日本電気生理運動学会大会(JSEK2017、札幌)
    • Related Report
      2017 Annual Research Report
  • [Presentation] Kinect を用いた歩行解析システムの開発2017

    • Author(s)
      増田正
    • Organizer
      科学技術振興機構(JST)新技術説明会
    • Place of Presentation
      JST東京本部別館ホール(東京都千代田区)
    • Related Report
      2016 Research-status Report
  • [Presentation] コンシューマデプスセンサを用いた多視点距離画像撮影による 歩行パラメータ推定精度の評価2015

    • Author(s)
      安川 洵、増田 正
    • Organizer
      第36回バイオメカニズム学術講演会
    • Place of Presentation
      信州大学上田キャンパス(長野県上田市)
    • Year and Date
      2015-11-28
    • Related Report
      2015 Research-status Report
  • [Patent(Industrial Property Rights)] 複数台の3次元身体動作計測装置を連動させて人体運動を計測する方法及びその計測システム2017

    • Inventor(s)
      増田正
    • Industrial Property Rights Holder
      福島大学
    • Industrial Property Rights Type
      特許
    • Industrial Property Number
      2017-186558
    • Filing Date
      2017
    • Related Report
      2017 Annual Research Report

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Published: 2015-04-16   Modified: 2019-03-29  

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