Eye Movement Measurement Essay

10667 WordsAug 8, 201243 Pages
Wearable EOG goggles: Seamless sensing and context-awareness in everyday environments Andreas Bulling ∗ , Daniel Roggen and Gerhard Tröster Wearable Computing Laboratory, ETH Zurich, Gloriastrasse 35, 8092 Zurich, Switzerland Abstract. In this article we introduce the analysis of eye motion as a new input modality for activity 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 self-contained wearable device consists of goggles with dry electrodes integrated into the frame and a small pocket-worn component with a DSP for real-time EOG signal processing. It can store data locally for long-term recordings or stream processed EOG signals to a remote device over Bluetooth. We show how challenges associated with wearability, eye motion analysis and signal artefacts caused by physical activity can be addressed with a combination of a special mechanical design, optimised algorithms for eye movement detection 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 interaction. Eventually, wearable EOG goggles may pave the way for seamless eye movement analysis in everyday environments and new forms of context-awareness not possible today. Keywords: Wearable Eye Tracking, Electrooculography (EOG), Context-Awareness, Activity Recognition, Human-Computer Interaction (HCI) 1. Introduction Fifteen years ago, ubiquitous computing was introduced as a vision 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

More about Eye Movement Measurement Essay

Open Document