Using consumer-grade brain-computer interface devices to capture and detect unaware facial recognitions
Date
2017-08-01
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Abstract
The brain's natural reaction to viewing and processing faces in an aware manner
is an area of research that has been explored for previously, however the brain's
unaware reactions to these stimuli prove to be fairly less explored. An experiment
was performed where recruited participants viewed images of individuals' faces while
their brains' electroencephalography signals were recorded using a consumer-grade
BCI device. The chosen images were assigned one of three classes of recognition,
corresponding with what we expect the images to be recognized as: No Recognition,
Possible Unaware Recognition, and Possible Aware Recognition. Using modern filtering and analysis techniques, it was found that, in effect, using consumer-grade
brain-computer interface devices, the three previously-defined classes of recognition
are easily identified, both with the human eye and machine learning tools, and previous efforts to detect unaware/subconscious facial recognition have been improved on
using a variety of methods for data manipulation.
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Keywords
BCI, EEG, Unaware, Facial, Recognition