Name
Title | ||
|---|---|---|
Automatic Glissade Determination Through a Mathematical Model in Electrooculographic Records. |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/978-3-319-56148-6_49 | BIOINFORMATICS AND BIOMEDICAL ENGINEERING, IWBBIO 2017, PT I |
Field | DocType | Volume |
Computer vision,Gauss,Support vector machine,Overshoot (signal),Mean squared error,Artificial intelligence,Engineering,Saccade | Conference | 10208 |
ISSN | Citations | PageRank |
0302-9743 | 0 | 0.34 |
References | Authors | |
4 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Camilo Velázquez-Rodríguez | 1 | 6 | 2.05 |
| Rodolfo García-Bermúdez | 2 | 0 | 0.68 |
| Fernando Rojas Ruiz | 3 | 34 | 7.37 |
| Roberto Becerra-García | 4 | 0 | 0.34 |
| Luis Velázquez | 5 | 6 | 2.04 |