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Wearable EOG goggles: eye-based interaction in everyday environments
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Conference on Human Factors in Computing Systems archive
Proceedings of the 27th international conference extended abstracts on Human factors in computing systems table of contents
Boston, MA, USA
SESSION: Interactivity: look, hear, wear table of contents
Pages 3259-3264  
Year of Publication: 2009
ISBN:978-1-60558-247-4
Authors
Andreas Bulling  ETH Zurich, Zurich, Switzerland
Daniel Roggen  ETH Zurich, Zurich, Switzerland
Gerhard Tröster  ETH Zurich, Zurich, Switzerland
Sponsors
ACM: Association for Computing Machinery
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Bulling, A., Roggen, D., and Tröster, G. Wearable EOG goggles: Seamless sensing and context-awareness in everyday environments. Ambient Intelligence and Smart Environments 1, 2 (2009).
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Collaborative Colleagues:
Andreas Bulling: colleagues
Daniel Roggen: colleagues
Gerhard Tröster: colleagues