Mind-Mirror: EEG-Guided Image Evolution

9 years 11 months ago
Mind-Mirror: EEG-Guided Image Evolution
Abstract. We propose a brain-computer interface (BCI) system for evolving images in realtime based on subject feedback derived from electroencephalography (EEG). The goal of this system is to produce a picture best resembling a subject's `imagined' image. This system evolves images using Compositional Pattern Producing Networks (CPPNs) via the NeuroEvolution of Augmenting Topologies (NEAT) genetic algorithm. Fitness values for NEAT-based evolution are derived from a real-time EEG classifier as images are presented using rapid serial visual presentation (RSVP). Here, we report the design and performance, for a pilot training session, of a BCI system for real-time single-trial binary classification of viewed images based on participant-specific brain response signatures present in 128-channel EEG data. Selected training-session image clips created by the image evolution algorithm were presented in 2-s bursts at 8/s. The subject indicated by subsequent button press whether or no...
Nima Bigdely Shamlo, Scott Makeig
Added 18 Feb 2011
Updated 18 Feb 2011
Type Journal
Year 2009
Where HCI
Authors Nima Bigdely Shamlo, Scott Makeig
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