Journal
SENSORS
Volume 11, Issue 1, Pages 310-328Publisher
MDPI
DOI: 10.3390/s110100310
Keywords
electrooculography; eye movement; human-computer interface; wavelet transform; neural network
Funding
- Ministerio de Educacion (Spain) [TSI2007-61970-C01]
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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.
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