Electroencephalographic detection of visual saliency of motion towards a practical brain-computer interface for video analysis

作者: Matthew Weiden , Deepak Khosla , Matthew Keegan

DOI: 10.1145/2388676.2388800

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摘要: Though Electroencephalography (EEG)-based brain-computer interfaces (BCI) have come to outperform pure computer vision algorithms on difficult image triage tasks, none of these BCIs leveraged the effects motion human visual attention system. Here we consider advantages leveraging by testing a new method for EEG-based target detection using Rapid Serial Visual Presentation (RSVP) short moving clips. Comparatively, canonical methods present operator with still images only. Our experiments show that presenting in RSVP instead significantly increases performance (p

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