A second predictive model giving the probability of occupancy of each state of the HMM model is also trained during each calibration phase using an REW-NPLS regression method. This second predictive model is used to calculate Markov mixture coefficients during a later operational prediction phase.
ITERATIVE CALIBRATION METHOD FOR A DIRECT NEURAL INTERFACE USING A MARKOV MIXTURE OF EXPERTS WITH MULTIVARIATE REGRESSION