ITM Web Conf.
Volume 21, 2018Computing in Science and Technology (CST 2018)
|Number of page(s)||11|
|Published online||12 October 2018|
Computer-aided processing of the oculomotor signal
Institute of Technical Engineering, State School of Technology and Economics, 37-500 Jaroslaw, Czarniecki Street 16, Poland
2 Institute of Healthcare, State School of Technology and Economics, 37-500 Jaroslaw, Czarniecki Street 16, Poland
* Corresponding author: email@example.com
Specific features of oculomotor signal and availability of high-end measurement equipment, as well as using modern IT techniques and tools creates the possibility of automatic processing of this type of data and extensive use of developed algorithms. Analysis of such data is a tedious and complex process so computer processing of the oculomotor signal makes the process less time-consuming, more precise and effective. The article discusses data filtering and removing noise, detection of saccades and fixations and determination of characteristic oculomotor parameters and then analysis using neural networks (unidirectional, two-layer neural network with backpropagation learning method and Kohonen’s self-organising network) and application supporting the analysis process. The proposed test method allows registration of a view path followed by its automatic analysis to obtain objective parameters characterising the movement of the eyeball. The motor apparatus of the eyeball, due to its high sensitivity to changes in the body, can serve as a measure of general health.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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