Investigation into the potential of convenient EEG platforms in performing auditory attention detection

n noisy environments, normal hearing individuals demonstrate an ability to tune into a desired speaker while attenuating irrelevant background noise. Previous studies have shown that by analyzing brain wave data in the form of electroencephalography (EEG), and applying a technique called stimulus reconstruction technique, we can determine and even roughly reconstruct the attended speech. These results present an opportunity for applying the concept of deciphering auditory attention in neuroprosthetics, assistive technologies that utilize brain waves to complement the human ability. However, before such neuroprosthetics can be used in real life, there is a need to simplify the hardware of the system, such as minimizing the number of electrodes in collected neural data from a full cap configuration to a few electrodes. Changes in hardware will have implications on the system’s performance in detecting attention, and will require adjustments in programming. TO BE CONT’D

Faculty Supervisor:

Mike Smith

Student:

Partner:

The University of Tokyo

Discipline:

Engineering

Sector:

Education

University:

University of Calgary

Program: