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.
%0 Conference Paper
%1 bulling09_chi
%A Bulling, Andreas
%A Roggen, Daniel
%A Tröster, Gerhard
%B Ext. Abstr. ACM SIGCHI Conference on Human Factors in Computing Systems (CHI)
%D 2009
%K (EOG), (HCI), Computing Context-awareness, Electrooculography Eye Gestures, Human-Computer Interaction Tracking, Wearable hcics vis
%P 3259-3264
%R 10.1145/1520340.1520468
%T Wearable EOG Goggles: Eye-Based Interaction in Everyday Environments
%X 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.
@inproceedings{bulling09_chi,
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.},
added-at = {2024-07-11T10:05:52.000+0200},
author = {Bulling, Andreas and Roggen, Daniel and Tr{\"{o}}ster, Gerhard},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/26ec56d592f782c80d5a3ccde317895fc/hcics},
booktitle = {Ext. Abstr. ACM SIGCHI Conference on Human Factors in Computing Systems (CHI)},
doi = {10.1145/1520340.1520468},
interhash = {e687f966a40a4b0ec3b8b18cf47cf752},
intrahash = {6ec56d592f782c80d5a3ccde317895fc},
keywords = {(EOG), (HCI), Computing Context-awareness, Electrooculography Eye Gestures, Human-Computer Interaction Tracking, Wearable hcics vis},
pages = {3259-3264},
timestamp = {2024-07-11T10:11:36.000+0200},
title = {Wearable EOG Goggles: Eye-Based Interaction in Everyday Environments},
year = 2009
}
