Real time eye movement identification protocol

  • Authors:
  • Do Hyong Koh;Sandeep Munikrishne Gowda;Oleg V. Komogortsev

  • Affiliations:
  • Texas State University - San Marcos, San Marcos, TX, USA;Texas State University - San Marcos, San Marcos, TX, USA;Texas State University - San Marcos, San Marcos, TX, USA

  • Venue:
  • CHI '10 Extended Abstracts on Human Factors in Computing Systems
  • Year:
  • 2010

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Abstract

This paper introduces a Real Time Eye Movement Identification (REMI) protocol designed to address challenges related to the implementation of the eye-gaze guided computer interfaces. The REMI protocol provides the framework for 1) eye position data processing such as noise removal, smoothing, prediction and handling of invalid positional samples 2) real time eye movement identification into the basic eye movement types 3) mapping of the classified eye movement data to interface actions such as object selection.