The glissadic overshoot is characterized by an unwanted type of movement known as glissades. The glissades are a short ocular movement that describe the failure of the neural programming of saccades to move the eyes in order to reach a specific target. In this paper we develop a procedure to determine if a specific saccade have a glissade appended to the end of it. The use of the third partial sum of the Gauss series as mathematical model, a comparison between some specific parameters and the RMSE error are the steps made to reach this goal. Finally a machine learning algorithm is trained, returning expected responses of the presence or not of this kind of ocular movement.
CITATION STYLE
Velázquez-Rodríguez, C., García-Bermúdez, R., Rojas-Ruiz, F., Becerra-García, R., & Velázquez, L. (2017). Automatic glissade determination through a mathematical model in electrooculographic records. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10208 LNCS, pp. 546–556). Springer Verlag. https://doi.org/10.1007/978-3-319-56148-6_49
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