Skip to Main Content The Wadsworth electroencephalogram
(EEG)-based brain-computer interface (BCI) uses amplitude in mu
or beta frequency bands over sensorimotor cortex to control
cursor movement. Trained users can move the cursor in one or two
dimensions. The primary goal of this research is to provide a
new communication and control option for people with severe
motor disabilities. Currently, cursor movements in each
dimension are determined 10 times/s by an empirically derived
linear function of one or two EEG features (i.e., spectral bands
from different electrode locations). This study used offline
analysis of data collected during system operation to explore
methods for improving the accuracy of cursor movement. The data
were gathered while users selected among three possible targets
by controlling vertical [i.e., one-dimensional (1-D)] cursor
movement. The three methods analyzed differ in the
dimensionality of the cursor movement [1-D versus two-
dimensional (2-D)] and in the type of the underlying func