%Aigaion2 BibTeX export from IfE Document Management System
%Wednesday 16 May 2012 10:42:16 PM

@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},
     month = {4},
     title = {Wearable EOG goggles: Seamless sensing and context-awareness in everyday environments},
   journal = {Journal of Ambient Intelligence and Smart Environments},
    volume = {1},
    number = {2},
      year = {2009},
     pages = {157--171},
      issn = {1876-1364},
       doi = {10.3233/AIS-2009-0020},
  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.}
}