“…The sequential forward selection (SFS) algorithm, which automatically selects a subset of features that is most relevant to the problem, was employed to calculate the optimal sensor number for given classification accuracy. The SFS algorithm was easy to implement and shows great performance in various circumstances of data dimension reduction [51,52]. The SFS algorithm started with a null feather set, and then the channel with the highest classification accuracy was selected among all the 120 channels.…”