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.
Preview |
Text
Ward_BWGT08pervasive.pdf Download (1MB) | Preview |
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 |
Loading...
Loading...Loading...Loading...Archive Staff Only
 |
View Item |
