2013 Fiscal Year Final Research Report

A study about predictive control based on task performance estimation using information of EEG just before the onset of motion

Research Project

Project/Area Number	23560294
Research Category	Grant-in-Aid for Scientific Research (C)
Allocation Type	Multi-year Fund
Section	一般
Research Field	Intelligent mechanics/Mechanical systems
Research Institution	Kansai University
Principal Investigator	SUZUKI Satoshi 関西大学, システム理工学部, 准教授 (50306502)
Co-Investigator(Kenkyū-buntansha)	KOTANI Kentaro 関西大学, システム理工学部, 教授 (80288795)
Project Period (FY)	2011 – 2013
Keywords	人間工学 / 生体信号処理 / 意図推定 / 予測制御
Research Abstract	In an attempt to facilitate the use of biological signals for prediction of accuracy of movement just before the onset of movement, we examined the relationships among MRCP parameters as physiological indices and accuracy of task performance. Additionally, we developed a prototype system to detect MRCP parameters using SVM (Support-vector machine) in real-time and to also predict accuracy just before onset of the motion. Based on this findings, the possibility is considered whether it is possible to predict accuracy just before the movement is executed using MRCPs intended to use as one of the assistive method for BMI.

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