Brain Computer Interface
The main idea is for students to create a proper system that will collect real time signals and have them sent to a decoding system, along with gathering the proper hardware to execute these tasks. Various training models will be created in order to elicit 3 different responses for 3 different commands, as needed by the game. The goal is to use motor imagery to see various alterations in the EEG signals. A deep learning model will be implemented in order to decode the different commands to control the games avatar.
Project status:
Active
Department:
EECS
Term:
Fall
Winter
Spring
Academic year:
2019-2020