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

A study about predictive control based on task performance estimation using information of EEG just before the onset of motion
基于运动开始前脑电图信息的任务绩效估计的预测控制研究
批准号：
23560294
负责人：
SUZUKI Satoshi
金额：
$3.08万
依托单位：
Kansai University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2011
资助国家：
日本
项目状态：
已结题
起止时间：
2011 至 2013
来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-23560294/
关键词：
人間工学生体信号処理意図推定予測制御生体信号計測

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中文摘要
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英文摘要
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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会议论文
運動関連電位と運動精度の関係性調査及びその応用に関する検討
运动相关电位与运动准确性关系的调查及应用研究
DOI： --
发表时间： 2012
期刊：
影响因子： --
作者： [Tetsuya Kinugasa, Koji Yoshida, Takafumi Haji, Hisanori Amano, Ryota Hayashi, Masatsugu Iribe, Kenichi Tokuda, 山岡善樹,中松祐介,横関厚,鈴木哲,朝尾隆文,小谷賢太郎]
通讯作者： 山岡善樹,中松祐介,横関厚,鈴木哲,朝尾隆文,小谷賢太郎
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  • 资助金额：
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