Paper Info
Title
Estimation of Force Motor Command to Control Robot by NIRS-Based BCI
Abstract
We consider a possibility for estimating force amplitude and start and end timing of movements based on hemoglobin density by using near-infrared spectroscopy (NIRS). In first experiments, subjects carried out isometric movements of three levels of force amplitude in order to measure EMG, force amplitude and hemoglobin density, and these relationships were investigated. We confirmed strong correlations between these measurements. From these relationships we propose two estimation models; one is to estimate the EMG from hemoglobin density and the other is to estimate the force amplitude from the estimated EMG. We can construct estimation models with high performance by minimizing AIC. Second, we examines the estimation of start and end timing of tapping movement by using NIRS signal around pyramidal area. We show the analysis of regional cerebral blood flow during maximum tapping effort movement and the method to quantitatively estimate start and end timing of movement. Finally, we show an example of a BMI system applying estimation models to control an arm robot.
Year
DOI
Venue
2007
10.1007/978-3-540-69162-4_101
ICONIP
Keywords
Field
DocType
end timing,isometric movement,estimation model,nirs signal,bmi system,hemoglobin density,effort movement,force amplitude,force motor command,estimate start,estimated emg,nirs-based bci,control robot,near infrared spectroscopy
Simulation,Control theory,Computer science,Brain–computer interface,Tapping,Robot,Robot control system,Isometric exercise,Amplitude,Grip force
Conference
Volume
ISSN
Citations 
4985
0302-9743
2
PageRank 
References 
Authors
0.49
2
4
Name
Order
Citations
PageRank
Tadashi Tsubone1209.43
Kiyotaka Tsutsui220.49
Takeo Muroga320.49
Yasuhiro Wada422562.58