Wednesday, February 27, 2013

Eye Movement Measurement

Wear satisfactory EOG goggles: Seamless sensing
and context-awareness in everyday
environments
Andreas Bulling ? , Daniel Roggen and Gerhard Tröster
Wearable reason Laboratory, ETH Zurich, Gloriastrasse 35, 8092 Zurich, Switzerland

Abstract. In this article we introduce the analysis of center field consummation as a new input modality for natural action recognition, contextawareness 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 gathered wearable device consists of goggles with dry electrodes
integrated into the draw up and a small pocket-worn component with a DSP for real-time EOG subscribe processing. It can store data
locally for long-term recordings or swarm processed EOG signals to a remote device over Bluetooth. We fate how challenges
associated with wearability, eye motion analysis and signal artefacts caused by material practise can be addressed with a confederacy of a special mechanical design, optimised algorithms for eye movement catching and adaptive signal processing. In
two case studies, we demonstrate that EOG is a suitable measurement technique for the recognition of reading activity and eyebased human-computer action.

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Eventually, wearable EOG goggles may pave the way for circular-knit eye movement analysis
in everyday environments and new forms of context-awareness non possible today.
Keywords: Wearable Eye Tracking, Electrooculography (EOG), Context-Awareness, Activity Recognition, Human-Computer
Interaction (HCI)

1. Introduction
cardinal years ago, ubiquitous computing was introduced as a reverie of technology fading into the background and always ready to interact and transparently
respond to the users needs. To realise this vision it is
essential to be able to recognise and react according
to the users context [1,28]. This is primarily a exemplification recognition problem in which context is inferred
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