Computational Motor Control Approach for Aging

2017 Fiscal Year Final Research Report

• Project/Area Number: 15K12597
• Research Category: Grant-in-Aid for Challenging Exploratory Research
• Allocation Type: Multi-year Fund
• Research Field: Rehabilitation science/Welfare engineering
• Research Institution: Nagaoka University of Technology
• Principal Investigator: Wada Yasuhiro 長岡技術科学大学, 工学研究科, 教授 (70293248)
• Co-Investigator(Kenkyū-buntansha): 大石 潔 長岡技術科学大学, 工学研究科, 教授 (40185187) ; 南部 功夫 長岡技術科学大学, 工学研究科, 准教授 (40553235)
• Project Period (FY): 2015-04-01 – 2018-03-31
• Keywords: 計算論的モデル / 脳波 / 筋電 / fNIRS

Outline of Final Research Achievements

If it becomes possible to evaluate the decrease of human motor function, we can expect that the possibility of maintaining health status will increase.
Based on the findings of the brain computational approach, we conducted fundamental research and development to evaluate changes in motor function from a computational model by combining both physical movement measurement and brain imaging measurement, and the following results was obtained. Simultaneous measurement of motion trajectories, electromyograms, electroencephalograms (EEG) that are considered to follow isochronic motion (eight letter motion, double elliptical motion) and Fitts' law, measure data of healthy subjects, we verified the validity of the proposed model. We also developed a simple method of real time scalp blood flow removal of fNIRS signal to apply fNIRS to the research.

Free Research Field

計算論的運動制御