Identification of saccades in electrooculograms and their use as a control tool

Authors:
Marcelino Martinez;Emilio Soria;Rafael Magdalena;Antonio José Serrano López
Affiliations:
Department of Electronics Engineering, University of Valencia, Valencia, Spain;Department of Electronics Engineering, University of Valencia, Valencia, Spain;Department of Electronics Engineering, University of Valencia, Valencia, Spain;Department of Electronics Engineering, University of Valencia, Valencia, Spain
Venue:
ACS'06 Proceedings of the 6th WSEAS international conference on Applied computer science
Year:
2006

Citing 3
Cited 0

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Abstract

This paper describes the tasks carried out to develop a control tool using the changes detected in gaze, which are captured in the electrooculogram signal. The objective is to use these changes to control a user interface such as Dasher. A software tool for generating visual stimuli and acquiring the eye signal has been developed. These signals were later processed with a first derivative-based algorithm in order to detect the changes. The optimal parameters for the algorithm have been determined, and also the sensitivity (S97%) and the predictive positive value (+PV90%) of the detector have also been calculated. The preliminary results are promising, but a study with a greater number of individuals should be made to check the on-line performance with longer registers.