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Contour-guided gaze gestures: eye-based interaction with everyday objects and IoT devices

Published: 22 October 2017 Publication History

Abstract

The eyes are gaining increasing interest within the HCI (human-computer interaction) community as they are a fast and accurate input modality. However, the applicability of mobile eye-based HCI so far is restricted by several issues, such as calibration or the Midas Touch Problem [5]. In this work we propose the idea of contour-guided gaze gestures, which overcome these problems by relying on relative eye movements, as users trace the contours of (interactive) objects within a smart environment. Matching the trajectory of the eye movements and the contour's shape allows to estimate which object was interacted with and to trigger the corresponding actions. We describe the concept of the system and illustrate several application scenarios, demonstrating its value.

References

[1]
Peter Abeles. 2016. BoofCV v0.25. http://boofcv.org/. (2016).
[2]
Heiko Drewes, Alexander De Luca, and Albrecht Schmidt. 2007. Eye-gaze interaction for mobile phones. In Proceedings of the 4th international conference on mobile technology, applications, and systems and the 1st international symposium on Computer human interaction in mobile technology. ACM, 364--371.
[3]
Heiko Drewes and Albrecht Schmidt. 2007. Interacting with the computer using gaze gestures. Human-Computer Interaction-INTERACT 2007 (2007), 475--488.
[4]
Rob Jacob and Sophie Stellmach. 2016. What you look at is what you get: gaze-based user interfaces. interactions 23, 5 (2016), 62--65.
[5]
Robert JK Jacob. 1991. The use of eye movements in human-computer interaction techniques: what you look at is what you get. ACM Transactions on Information Systems (TOIS) 9, 2 (1991), 152--169.
[6]
Mélodie Vidal, Andreas Bulling, and Hans Gellersen. 2013. Pursuits: spontaneous interaction with displays based on smooth pursuit eye movement and moving targets. In Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing. ACM, 439--448.

Cited By

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  • (2018)Eyes are different than HandsProceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference10.1145/3197768.3201565(303-310)Online publication date: 26-Jun-2018

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Published In

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IoT '17: Proceedings of the Seventh International Conference on the Internet of Things
October 2017
211 pages
ISBN:9781450353182
DOI:10.1145/3131542
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 October 2017

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Author Tags

  1. gaze-based interaction
  2. internet of things
  3. pervasive computing
  4. wearable computing

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IoT '17

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Overall Acceptance Rate 28 of 84 submissions, 33%

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Cited By

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  • (2018)Eyes are different than HandsProceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference10.1145/3197768.3201565(303-310)Online publication date: 26-Jun-2018

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