Wearable EOG goggles: eye-based interaction in everyday environments

  • Authors:
  • Andreas Bulling;Daniel Roggen;Gerhard Tröster

  • Affiliations:
  • ETH Zurich, Zurich, Switzerland;ETH Zurich, Zurich, Switzerland;ETH Zurich, Zurich, Switzerland

  • Venue:
  • CHI '09 Extended Abstracts on Human Factors in Computing Systems
  • Year:
  • 2009

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Abstract

In this paper, we present an embedded eye tracker for context-awareness and eye-based human-computer interaction - the wearable EOG goggles. In contrast to common systems using video, this unobtrusive device relies on Electrooculography (EOG). It consists of goggles with dry electrodes integrated into the frame and a small pocket-worn component with a powerful microcontroller for EOG signal processing. Using this lightweight system, sequences of eye movements, so-called eye gestures, can be efficiently recognised from EOG signals in real-time for HCI purposes. The device is self-contained solution and allows for seamless eye motion sensing, context-recognition and eye-based interaction in everyday environments.