| Project/Area Number |
15KK0014
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| Research Category |
Fund for the Promotion of Joint International Research (Fostering Joint International Research)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Human interface and interaction
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| Research Institution | Tokai University |
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Principal Investigator |
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| Research Collaborator |
Ueda Jun Georgia Institute of Technology, GWW School of Mechanical Engineering, Associate Professor
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| Project Period (FY) |
2016 – 2018
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| Project Status |
Completed (Fiscal Year 2018)
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| Budget Amount *help |
¥13,000,000 (Direct Cost: ¥10,000,000、Indirect Cost: ¥3,000,000)
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| Keywords | 振動 / リハビリテーション / ユーザインターフェース |
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| Outline of Final Research Achievements |
In our previous research, the active acoustic sensing has been studied for the human body, and the angle of the joint and the contact force are estimated by using the unnoticeable vibration and the perceptible vibration. Additionally, our method can be used as haptic interfaces. In this research, we applied this method to other fields such as augmented human perception and rehabilitation. In rehabilitation, the vibration is used as a mechanical stimulus, but it is necessary to optimize the timing of input. Therefore, we proposed the method for optimizing input timing for highly effective rehabilitation.
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| Academic Significance and Societal Importance of the Research Achievements |
本研究の成果は，脳卒中などで手足に麻痺が生じた場合に行われるリハビリテーションにおいて，振動刺激の入力タイミングの最適化を実現するものである．振動の入力タイミングは，運動誘発電位を得るために，磁気刺激に合わせて適切なタイミングで入力する必要があるが，このタイミングが個人ごとに異なることや，タイミングがあったとしても確実に得られるものでないため，これまで最適化が難しかった．本研究の成果はこのタイミングを確率的に求めるもので，これが実現されるとロボットによる最適なリハビリテーションが可能となり，リハビリテーションの効果が効率的に得られることが期待できる．
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