A method for enhancing eye movements data from eye-tracking devices

Eye movements play an important role in actual neuroscience and in the last twenty years, many eye-tracking devices have emerged with different methods and performance features. Generally, the highest quality ones with best performance in terms of accuracy and high framerates, are the most expensive...

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Detalles Bibliográficos
Autores principales: Dimieri, Leonardo, Castro, Liliana Raquel, Agamennoni, Osvaldo Enrique
Formato: Objeto de conferencia
Lenguaje:Español
Publicado: 2017
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/105820
https://cimec.org.ar/ojs/index.php/mc/article/view/5466
Aporte de:
id I19-R120-10915-105820
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Español
topic Ingeniería
Eye movements
Eye-tracking
Wavelets
spellingShingle Ingeniería
Eye movements
Eye-tracking
Wavelets
Dimieri, Leonardo
Castro, Liliana Raquel
Agamennoni, Osvaldo Enrique
A method for enhancing eye movements data from eye-tracking devices
topic_facet Ingeniería
Eye movements
Eye-tracking
Wavelets
description Eye movements play an important role in actual neuroscience and in the last twenty years, many eye-tracking devices have emerged with different methods and performance features. Generally, the highest quality ones with best performance in terms of accuracy and high framerates, are the most expensive apparatus and very often complicated to assembly. Also, they tend to work in fixed setups and it is hard to perform outdoor experiments, like driving a real car or walking long distances. The comfortable and cheaper ones are usually those having the poorest measuring characteristics, reaching maximum framerates below 250fps, yet with great advantages. These modern remote eye-tracking systems allow, in general, small head movements and the subject has not wear any kind of hardware. This feature is especially important when working with children or people with some kind of physical impairment. They are independent, small and one-piece hardware ready to plug into a mobile computer or laptop, making easy to set a large variety of experiments. In this work, we propose to use wavelet methods to improve real eye movements data, allowing the reconstruction of the signal at a higher resolution than the original one. Transformed data was upsampled and the new coefficients were obtained by interpolation using different techniques and looking for a minimum percentage error between the original and recovered signals. Then, treating the eyetracker data with low samplerate as a complete signal with periodic miss- ing parts or information and inspired in a method for restoring very damaged images, we present an approach to adapt one of the the algorithms for images to 1D signals. Mecánica Computacional Vol XXXV, págs. 2521-2532 (artículo completo) Martín I. Idiart, Ana E. Scarabino y Mario A. Storti (Eds.) La Plata, 7-10 Noviembre 2017 Copyright ©
format Objeto de conferencia
Objeto de conferencia
author Dimieri, Leonardo
Castro, Liliana Raquel
Agamennoni, Osvaldo Enrique
author_facet Dimieri, Leonardo
Castro, Liliana Raquel
Agamennoni, Osvaldo Enrique
author_sort Dimieri, Leonardo
title A method for enhancing eye movements data from eye-tracking devices
title_short A method for enhancing eye movements data from eye-tracking devices
title_full A method for enhancing eye movements data from eye-tracking devices
title_fullStr A method for enhancing eye movements data from eye-tracking devices
title_full_unstemmed A method for enhancing eye movements data from eye-tracking devices
title_sort method for enhancing eye movements data from eye-tracking devices
publishDate 2017
url http://sedici.unlp.edu.ar/handle/10915/105820
https://cimec.org.ar/ojs/index.php/mc/article/view/5466
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