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- W1967654344 abstract "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 have leveraged the effects of motion on the human visual attention system. Here we consider the advantages of leveraging the effects of motion by testing a new method for EEG-based target detection using Rapid Serial Visual Presentation (RSVP) of short moving image clips. Comparatively, canonical methods present the operator with still images only. Our experiments show that presenting moving images in RSVP instead of still images significantly increases performance (p < 0.0005). In addition, we investigate the effect of increasing target load in RSVP of moving image clips and find some support for the hypothesis that detection will decrease as target load is increased." @default.
- W1967654344 created "2016-06-24" @default.
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- W1967654344 date "2012-10-22" @default.
- W1967654344 modified "2023-10-15" @default.
- W1967654344 title "Electroencephalographic detection of visual saliency of motion towards a practical brain-computer interface for video analysis" @default.
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- W1967654344 doi "https://doi.org/10.1145/2388676.2388800" @default.
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