Application Group

Project and Motivation

Our group is currently focused on refining techniques for gathering strong and clear data with our electroencephalograph (EEG) headset to control brain computer interfaces (BCI). Once this problem is resolved, the improved data will make projects such as 2D control, spatial filtering, and artifact identification/removal more targeted and reliable. Overall, this translates to faster analysis and more meaningful results.

The most recent hypotheses tested includes comparing:

• signals generated from motor imagery (imagining movement) versus actual motor movement
• signals generated from a person’s dominant side versus their weak side
• signals generated from a repeated movement versus a single held movement