Volume 8 Issue 4
Sensory System for Implementing a Human—Computer Interface Based on Electrooculography
Rafael Barea,Luciano Boquete,Jose Manuel Rodriguez-Ascariz,Sergio Ortega andElena López
Department of Electronics, University of Alcalá, Alcalá de Henares 28871, Madrid, Spain
*Author to whom correspondence should be addressed.
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