Title
EOG-based visual navigation interface development
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.
Year
DOI
Venue
2012
10.1016/j.eswa.2012.03.007
Expert Syst. Appl.
Keywords
Field
DocType
first-person navigation metaphor,eog-based hci system,traditional input control interface,proposed interface,human computer interface,eye saccades,deterministic finite automaton,characteristic peak,navigation purpose,developed interface,eog-based visual navigation interface,fuzzy logic,virtual environment,navigation,human computer interaction
Computer vision,Virtual machine,Deterministic finite automaton,Computer science,Fuzzy logic,Filter (signal processing),Visual navigation,Electrooculography,Artificial intelligence,Classifier (linguistics),Machine learning
Journal
Volume
Issue
ISSN
39
12
0957-4174
Citations 
PageRank 
References 
17
0.81
15
Authors
3
Name
Order
Citations
PageRank
Cristian-Cezar Postelnicu1347.26
Florin Girbacia2216.00
Doru Talaba3668.05