EARtrode, a wireless in-ear custom-fitted intelligent brain computer interface – Year 2

Brain-computer interfaces (BCI) can directly translate human intentions into discrete commands, bypassing the motor system. Most non-invasive BCI systems currently in use are based on electroencephalography (EEG) recording technology. While traditional EEG-based BCIs achieve high information transfer rates, these systems have two major limitations. First, they cannot be used in daily life as they do not tolerate natural movements. Second, the equipment, a cap or headband and electrodes, would be inadequate for social settings. Thus, the goal of this project is to develop a wireless EEG-based BCI system able to both tolerate natural movement and record brain signals using miniaturized electrodes placed unobtrusively in and around the ear. The specific goals of this project include the adaptation of existing in-ear EEG device to fulfill the functional requirements of the project, the validation of the quality of the EEG signals recorded and the design of the new paradigms for real-time experimentation.

Faculty Supervisor:

Jérémie Voix

Student:

Olivier Valentin

Partner:

EERS Technologies 4.0 Inc

Discipline:

Engineering - mechanical

Sector:

Medical devices

University:

Program: