Iterative EEG-based Natural Image Search under RSVP

This work extends previous studies on using EEG decoding for automatic image retrieval. We propose an iterative way to integrate the information obtained from the EEG decoding and image processing methods. In the light of real-world BCI applications, we demonstrated that a limited number of EEG channels provide sufficient information about the subject’s preference to be exploited in image retrieval by the proposed synergistic scenario. Furthermore, to meet a more realistic scenario we used natural images (i.e., images of objects in their natural environment).


Published in:
Proceedings of the Fifth International Brain-Computer Interface Meeting 2013
Presented at:
5th International BCI Meeting, Asilomar Conference Center, Pacific Grove, California, June 3-7, 2013
Year:
2013
Publisher:
Graz, Austria, Graz University of Technology Publishing House
Keywords:
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 Record created 2013-08-27, last modified 2018-03-18

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