Sensory system for implementing a human-computer interface based on electrooculography

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 L...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2011-01, Vol.11 (1), p.310-328
Main Authors: Barea, Rafael, Boquete, Luciano, Rodriguez-Ascariz, Jose Manuel, Ortega, Sergio, López, Elena
Format: Article
Language:English
Subjects:
Algorithms
Automation
Electrodes
Electrooculography
eye movement
Eye movements
human–computer interface
Man-Machine Systems
Neural networks
Neural Networks (Computer)
Personal computers
Sensors
Sensory Thresholds
Signal processing
Signal Processing, Computer-Assisted
Software
User interface
User-Computer Interface
wavelet transform, neural network
Wavelet transforms
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Summary: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.
ISSN:1424-8220
1424-8220
DOI:10.3390/s110100310