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Sensors 2011, 11(1), 310-328; doi:10.3390/s110100310

Sensory System for Implementing a Human—Computer Interface Based on Electrooculography

Department of Electronics, University of Alcalá, Alcalá de Henares 28871, Madrid, Spain
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Received: 7 November 2010 / Revised: 19 December 2010 / Accepted: 20 December 2010 / Published: 29 December 2010
(This article belongs to the Special Issue Sensors in Biomechanics and Biomedicine)
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Abstract

This paper describes a sensory system for implementing a human–computer interface based on electrooculography. An acquisition system captures electrooculograms and transmits them via the ZigBee protocol. The data acquired are analysed in real time using a microcontroller-based platform running the Linux operating system. The continuous wavelet transform and neural network are used to process and analyse the signals to obtain highly reliable results in real time. To enhance system usability, the graphical interface is projected onto special eyewear, which is also used to position the signal-capturing electrodes.
Keywords: electrooculography; eye movement; human–computer interface; wavelet transform, neural network electrooculography; eye movement; human–computer interface; wavelet transform, neural network
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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Barea, R.; Boquete, L.; Rodriguez-Ascariz, J.M.; Ortega, S.; López, E. Sensory System for Implementing a Human—Computer Interface Based on Electrooculography. Sensors 2011, 11, 310-328.

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