2013 Fiscal Year Final Research Report
Prediction of intention before actual movement using preparation-based Brain-Computer Interfaces
Project/Area Number |
24800027
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Research Category |
Grant-in-Aid for Research Activity Start-up
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Allocation Type | Single-year Grants |
Research Field |
Intelligent informatics
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Research Institution | Nagaoka University of Technology |
Principal Investigator |
NAMBU Isao 長岡技術科学大学, 工学部, 助教 (40553235)
|
Project Period (FY) |
2012-08-31 – 2014-03-31
|
Keywords | 脳情報インターフェース / 非侵襲脳活動計測 / EEG / fNIRS / 運動準備 / 事前脳活動 |
Research Abstract |
The goal of this research is to extract information about preparation or errors of movements from pre-movement or pre-stimulus brain activity, and to construct brain-computer interfaces that control external devices or support intended movements from brain activities of users. For this purpose, I conducted following three projects: measurement of brain activity using electroencephalogram (EEG) before movements, devolvement of classification algorithm for EEG data, and measurement of brain activity during movements using functional near-infrared spectroscopy (fNIRS). The results suggest that predicting occurrences of errors is possible from EEG data during pre-movement period, although further improvements are needed. Also, this research suggests feasibility of new algorithm using particle swam optimization and a possibility of combining fNIRS with EEG during movement tasks for improving an accuracy.
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Research Products
(9 results)