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Object Segmentation in Images using EEG Signals

Publication Type: 
Refereed Conference Meeting Proceeding
Abstract: 
This paper explores the potential of brain-computer interfaces in segmenting objects from images. Our approach is centered around designing an effective method for displaying the image parts to the users such that they generate measurable brain reactions. When an image region, specifically a block of pixels, is displayed we estimate the probability of the block containing the object of interest using a score based on EEG activity. After several such blocks are displayed, the resulting probability map is binarized and combined with the GrabCut algorithm to segment the image into object and background regions. This study shows that BCI and simple EEG analysis are useful in locating object boundaries in images.
Conference Name: 
ACM Multimedia 2014
Proceedings: 
The 22nd ACM International Conference on Multimedia
Digital Object Identifer (DOI): 
10.1145/2647868.2654896
Publication Date: 
03/11/2014
Conference Location: 
United States of America
Research Group: 
Institution: 
Dublin City University (DCU)
Open access repository: 
Yes