EOG-based visual navigation interface development

Authors:
Cristian-Cezar Postelnicu;Florin Girbacia;Doru Talaba
Affiliations:
Virtual Reality and Robotics Laboratory, Transilvania University of Brasov, Brasov 500063, Romania;Virtual Reality and Robotics Laboratory, Transilvania University of Brasov, Brasov 500063, Romania;Virtual Reality and Robotics Laboratory, Transilvania University of Brasov, Brasov 500063, Romania
Venue:
Expert Systems with Applications: An International Journal
Year:
2012

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Abstract

This paper presents an EOG-based (Electrooculography) interface for Human Computer Interface (HCI) purposes. The solution enables the filtering of the recorded signals and identification of characteristic peak amplitudes associated with eye saccades, blinks or winks by using a classifier based on a set of fuzzy logic rules and a deterministic finite automaton. The identified eye saccades were assigned to six low-level commands for navigation purposes. An experiment study was conducted in order to check the accuracy and the performances of the proposed interface compared with three traditional input control interfaces. Experimental results show that the developed interface has good performance and can be used for online communication and control in EOG-based HCI systems or even for first-person navigation metaphors in games industry.