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

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

Received: 7 November 2010; in revised form: 19 December 2010 / Accepted: 20 December 2010 / Published: 29 December 2010
(This article belongs to the Special Issue Sensors in Biomechanics and Biomedicine)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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
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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.

AMA Style

Barea R, Boquete L, Rodriguez-Ascariz JM, Ortega S, López E. Sensory System for Implementing a Human—Computer Interface Based on Electrooculography. Sensors. 2011; 11(1):310-328.

Chicago/Turabian Style

Barea, Rafael; Boquete, Luciano; Rodriguez-Ascariz, Jose Manuel; Ortega, Sergio; López, Elena. 2011. "Sensory System for Implementing a Human—Computer Interface Based on Electrooculography." Sensors 11, no. 1: 310-328.

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