BCI - Detection of decision making process in human brain using EEG

Tan Vo (SoCS CECS)

CS HDR MONITORING Info & Human Centred Computing Research Group

DATE: 2010-04-15
TIME: 12:00:00 - 12:30:00
LOCATION: Ian Ross Seminar Room
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ABSTRACT:
Correctly detecting of patterns or trends in decision making process of human brain is still an ongoing research in BCI. The behavior of the brain not only differs from person to person but it also can be affected by both time and surrounding factors. Its complexity and diversity of this process in general make it one of the more challenging research areas in this field.

My research will evaluate and investigate methods of accurately detecting when the decision process happen from the computer perspective. The ability of detecting the decision point a" regardless of in general or in case-by-case circumstances will benefit the overall BCI system performance over the ones that base on evoked potential methods.

The research will focus solely on the non-invasive BCI technique known as electroencephalography (EEG) as it is generally more accessible than other alternatives. The BCI system equipped with EEG has to manage certain level of noises, artifacts and redundant signal behavior due to the nature of its operation.
BIO:
PhD student in Computer Science.