Theus H. Aspiras, Kelly Cashion, Carly A. Gross



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The Electroencephalograms (EEGs) Action Encoding is focused on translating the EEG signals into actions such as lift, turn, grab, drop, pull, push, and so on. This research has many possible applications, but more research must be done in order to turn these ideas into a reality. It could help the handicapped use robots to complete various tasks. It could also be used to communicate with coma patients. The robots could be controlled by thoughts to accomplish tasks too dangerous for humans. In order to translate the thoughts into actions, a program will be trained to recognize patterns in the EEG that are associated with one of these actions. Multiple challenges include variations in thought patterns between people and differences in thought patterns between thinking about and actually performing an action. An appropriate plan to collect and translate the data has been formulated. The patient will be fitted with the Data Acquisition Device and their brainwaves will be collected while they perform various tasks. This data will be filtered to remove noise and eye blinks, and then used to train the program.

Publication Date


Project Designation

Graduate Research

Primary Advisor

Vijayan K. Asari

Primary Advisor's Department

Electrical and Computer Engineering


Stander Symposium poster

EEG Action Encoding