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Robust Recognition of Reading Activity in Transit Using Wearable Electrooculography

Bulling, A; Ward, JA; Gellersen, H-W; Tröster, G; (2008) Robust Recognition of Reading Activity in Transit Using Wearable Electrooculography. In: Proceedings of the 6th International Conference on Pervasive Computing: Pervasive 2008. (pp. pp. 19-37). Springer, Berlin, Heidelberg: Sydney, Australia. Green open access

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Abstract

In this work we analyse the eye movements of people in transit in an everyday environment using a wearable electrooculographic (EOG) system. We compare three approaches for continuous recognition of reading activities: a string matching algorithm which exploits typical characteristics of reading signals, such as saccades and fixations; and two variants of Hidden Markov Models (HMMs) - mixed Gaussian and discrete. The recognition algorithms are evaluated in an experiment performed with eight subjects reading freely chosen text without pictures while sitting at a desk, standing, walking indoors and outdoors, and riding a tram. A total dataset of roughly 6 hours was collected with reading activity accounting for about half of the time. We were able to detect reading activities over all subjects with a top recognition rate of 80.2% (71.0% recall, 11.6% false positives) using string matching. We show that EOG is a potentially robust technique for reading recognition across a number of typical daily situations.

Type: Proceedings paper
Title: Robust Recognition of Reading Activity in Transit Using Wearable Electrooculography
Event: 6th International Conference on Pervasive Computing: Pervasive 2008
ISBN: 978-3-540-79576-6
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-540-79576-6_2
Publisher version: https://doi.org/10.1007/978-3-540-79576-6_2
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Hide Markov Model, Activity Recognition, String Match, Reading Activity, Baseline Drift
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
URI: https://discovery.ucl.ac.uk/id/eprint/1535735
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