EEG, BCI, Cursor Movement, Asymmetry, Backpropagation, Neural Network, Power Spectral Density
In this paper, an experiment was done to investigate the
EEG signals associated with direction of cursor movement,
namely ‘up’, ‘down’, ‘right’ and ‘left’ without
involving motor imagery. A subject was asked to move
the arrow on the computer screen virtually. The arrows
were consisted of ‘up’ ‘down’, ‘left’ and ‘right’.
Power spectral density (PSD) asymmetry ratio from the
EEG signals were used as input features. The backpropagation
neural network (BPN) was used as classifier.
Results show that the “direction” task can be
discriminated from baseline task with over 90% of accuracy.
However, they can not be discriminated from