Estimation of force motor command for NIRS-based BMI

We consider a possibility for estimating EMG and force amplitude based on hemoglobin density. In 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. Finally, we show an example of a BMI system applying estimation models to control an arm robot.