In the twinkling of an eye: synchronization of EEG and eye tracking based on blink signatures

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

ACHIEVING ROBUST ADAPTIVE SYNCHRONIZATION OF MULTIMODAL BIOMETRIC INPUTS: The recent arrival of wireless EEG headsets that enable mobile real-time 3D brain imaging on smartphones, and low cost eye trackers that provide gaze control of tablets, will radically change how biometric sensors might be integrated into next generation user interfaces. In experimental lab settings EEG neuroimaging and eye tracking data are traditionally combined using external triggers to synchronize the signals. However, with biometric sensors increasingly being applied in everyday usage scenarios, there will be a need for solutions providing a continuous alignment of signals. In the present paper we propose using spontaneous eye blinks, as a means to achieve near real-time synchronization of EEG and eye tracking. Analyzing key parameters that define eye blink signatures across the two domains, we outline a probability function based algorithm to correlate the signals. Comparing the accuracy of the method against a state of the art EYE-EEG plug-in for offline analysis of EEG and eye tracking data, we propose our approach could be applied for robust synchronization of biometric sensor data collected in a mobile context.
Original languageEnglish
Title of host publicationProceedings of the 4th International Workshop on Cognitive Information Processing (CIP)
EditorsLars Kai Hansen, Søren Holdt Jensen, Jan Larsen
Number of pages6
PublisherIEEE
Publication date2014
ISBN (Electronic)9 78 - 1 - 4799 - 3696 - 0
DOIs
Publication statusPublished - 2014
Event4th International Workshop on Cognitive Information Processing (CIP 2014) - Copenhagen, Denmark
Duration: 26 Apr 201428 Apr 2014
http://cip2014.conwiz.dk

Workshop

Workshop4th International Workshop on Cognitive Information Processing (CIP 2014)
CountryDenmark
CityCopenhagen
Period26/04/201428/04/2014
Internet address

Keywords

  • EEG
  • Eye Tracking
  • Synchronization

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