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

Sensors

Rafael Barea¹  Luciano Boquete²  Jose Manuel Rodriguez-Ascariz²  Sergio Ortega² 

[1] Department of Electronics, University of Alcalá, Alcalá de Henares 28871, Madrid, Spain;

关键词: electrooculography;    eye movement;    human–computer interface;    wavelet transform;    neural network;   

DOI  :  10.3390/s110100310

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2011 by the authors; licensee MDPI, Basel, Switzerland.