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

  • Authors:
  • Matthew Weiden;Deepak Khosla;Matthew Keegan

  • Affiliations:
  • HRL Laboratories LLC, Malibu, CA, USA;HRL Laboratories LLC, Malibu, CA, USA;HRL Laboratories LLC, Malibu, CA, USA

  • Venue:
  • Proceedings of the 14th ACM international conference on Multimodal interaction
  • Year:
  • 2012

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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