Challenges in the Effectiveness of Image Tagging Using Consumer Grade Brain Computer Interfaces
Image tagging in the Internet poses a challenge for search engines. We performed two image tagging experiments using brain computer interface devices. Both experiments were aimed at testing the feasibility of detecting significant changes in the subjects' electroencephalogram signals upon seeing two classes of visual stimuli. In the first experiment, participants focused on reading web articles while we disguised the images as web advertisements. The second experiment explicitly asked the subjects to think of a word that best described each of the images shown to them. We found that the accuracy of classifying either a rugby or soccer image using a purely Event Related Potential based (ERP) classification method produced statistically similar results whether the classification was done with the participant being aware of the classification, or unaware. This may suggest that ERP based individual image classification using consumer grade brain computer interface devices may not be feasible regardless of the method of stimulation.
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