I have 1 D motion and 2 D motion EEG dataset. I want to know what are the differences between them and if i perform feature extraction and classification then what results are expected ?
To get better understanding of the difference between 1 and 2 dimensional motion EEG data I would suggest you study the following papers:
1. Trejo LJ, Rosipal R, Matthews B, Brain-computer interfaces for 1-D and 2-D cursor control: designs using volitional control of the EEG spectrum or steady-state visual evoked potentials, IEEE Trans Neural Syst Rehabil Eng. 2006 Jun;14(2):225-9.
For your second question: The classification result would most likely be the events (actions) performing while recording the EEG signals.