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@ARTICLE{bulling10_pcm_a,
author = {Bulling, Andreas and Roggen, Daniel and Tr{\"{o}}ster, Gerhard},
keywords = {Machine learning, Pervasive computing, signal processing, Wearable computers and body area networks},
title = {What's in the eyes for context-awareness?},
journal = {IEEE Pervasive Computing},
year = {2010},
note = {in press},
issn = {1536-1268},
doi = {10.1109/MPRV.2010.49},
abstract = {Research in pervasive computing has investigated a variety of modalities for developing context-aware systems. A rich source of information on context that has not yet been used is the movements of the eyes. Because we use our eyes in almost everything that we do - everywhere - eye movements are a promising modality that ought to be exploited for context-awareness. Moreover, the link between eye movements and cognition may allow us to develop pervasive computing systems that are able to derive the so-called cognitive context of a person. In this work, we first report on the state-of-the-art in eye-based activity recognition (EAR) and outline the potential but also the research challenges of inferring activity and the cognitive context from eye movements. We present results of two EAR studies and first results towards our vision of cognitive-awareness.}
}