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

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 (S>97%) and the predictive positive value (+PV>90%) 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.