Towards early dementia detection by oculomotor performance analysis on leisure web content

Luis A.Maldonado Cano, Jessica Beltrán, René Navarro, Mireya S. García-Vázquez, Luis A. Castro

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

6 Citas (Scopus)

Resumen

The oculomotor performance can be an indicator of early neurodegeneration. Persons with Alzheimer's disease have shown different eye movement patterns than healthy persons in visual exploration through different experiments. We present a non-obtrusive approach for the assessment of oculomotor performance that can be useful to detect early stages of dementia. Our proposal uses a non-intrusive method to analyze how people explore leisure web content. In this paper, we discuss literature, our initial design, and the future directions of the project.

Idioma originalInglés
Título de la publicación alojadaUbiComp/ISWC 2017 - Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers
EditorialAssociation for Computing Machinery, Inc
Páginas800-804
Número de páginas5
ISBN (versión digital)9781450351904
DOI
EstadoPublicada - 11 sep. 2017
Evento2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and ACM International Symposium on Wearable Computers, UbiComp/ISWC 2017 - Maui, Estados Unidos
Duración: 11 sep. 201715 sep. 2017

Serie de la publicación

NombreUbiComp/ISWC 2017 - Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers

Conferencia

Conferencia2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and ACM International Symposium on Wearable Computers, UbiComp/ISWC 2017
País/TerritorioEstados Unidos
CiudadMaui
Período11/09/1715/09/17

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