Vidal, Mélodie and Bulling, Andreas and Gellersen, Hans (2011) Analysing EOG signal features for the discrimination of eye movements with wearable devices. In: Proceedings of the 1st international workshop on pervasive eye tracking 38; mobile eye-based interaction. PETMEI '11 . ACM, New York, pp. 15-20. ISBN 978-1-4503-0930-1Full text not available from this repository.
Eye tracking research in human-computer interaction and experimental psychology traditionally focuses on stationary devices and a small number of common eye movements. The advent of pervasive eye tracking promises new applications, such as eye-based mental health monitoring or eye-based activity and context recognition. These applications might require further research on additional eye movement types such as smooth pursuits and the vestibulo-ocular reflex as these movements have not been studied as extensively as saccades, fixations and blinks. In this paper we report our first step towards an effective discrimination of these movements. In a user study we collect naturalistic eye movements from 19 people using the two most common measurement techniques (EOG and IR-based). We develop a set of basic signal features that we extract from the collected eye movement data and show that a feature-based approach has the potential to discriminate between saccades, smooth pursuits, and vestibulo-ocular reflex movements.
|Item Type:||Contribution in Book/Report/Proceedings|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
|Departments:||Faculty of Science and Technology > School of Computing & Communications|
|Deposited On:||16 Aug 2012 10:55|
|Last Modified:||24 Oct 2016 01:52|
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