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Wearable EOG goggles: Seamless sensing and context-awareness in everyday environments

Andreas Bulling, Daniel Roggen, Gerhard Tröster

Journal of Ambient Intelligence and Smart Environments, 1(2), pp. 157-171, 2009.


Abstract

In this article we introduce the analysis of eye motion as a new input modality for activity recognition, context-awareness and mobile HCI applications. We describe a novel embedded eye tracker that, in contrast to common systems using video cameras, relies on Electrooculography (EOG). This self-contained wearable device consists of goggles with dry electrodes integrated into the frame and a small pocket-worn component with a DSP for real-time EOG signal processing. It can store data locally for long-term recordings or stream processed EOG signals to a remote device over Bluetooth. We show how challenges associated with wearability, eye motion analysis and signal artefacts caused by physical activity can be addressed with a combination of a special mechanical design, optimised algorithms for eye movement detection and adaptive signal processing. In two case studies, we demonstrate that EOG is a suitable measurement technique for the recognition of reading activity and eye-based human-computer interaction. Eventually, wearable EOG goggles may pave the way for seamless eye movement analysis and new forms of context-awareness not possible today.

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BibTeX

@article{bulling09_jaise, author = {Bulling, Andreas and Roggen, Daniel and Tr{\"{o}}ster, Gerhard}, keywords = {Activity Recognition, Context-awareness, Electrooculography (EOG), Human-Computer Interaction (HCI), Wearable Eye Tracking}, title = {Wearable {EOG} goggles: {S}eamless sensing and context-awareness in everyday environments}, journal = {Journal of Ambient Intelligence and Smart Environments}, volume = {1}, number = {2}, year = {2009}, pages = {157-171}, doi = {10.3233/AIS-2009-0020} }