Hacking an off-the-shelf EEG headset for a motor imagery brain-computer interface

The goal of the project is to hack an Emotiv EEG headset such that it allows for the development of a motor imagery (left and right hand) based brain-computer interface (BCI). As sold, the Emotiv headset does not posses electrodes over the sensorimotor area; however, if the headset is worn backwards some electrodes would be located over that area. This project would validate the use of such “hacked” approach and compare the BCI performance to that obtained with a medical grade EEG equipment which possesses electrodes in the sensorimotor region. As outcome of the project, a low-cost, portable, wireless BCI will be developed that can be used worldwide as a human-machine interface or even as a diagnostic tool.

Faculty Supervisor:

Tiago Falk

Student:

Rohit Rangwani

Partner:

Discipline:

Journalism / Media studies and communication

Sector:

University:

Program:

Globalink