Impact of an Energy Normalization Transform on the Performance of the LF-ASD Brain Computer Interface

This paper presents an energy normalization transform as a method to reduce system errors in the LF-ASD brain-computer interface. The energy normalization transform has two major benefits to the system performance. First, it can increase class separation between the active and idle EEG data.