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arXiv · 1707.08821

Serious Games Application for Memory Training Using Egocentric Images

Gabriel Oliveira-Barra·Marc Bolaños·Estefania Talavera·Adrián Dueñas·Olga Gelonch·Maite Garolera
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Abstract

Mild cognitive impairment is the early stage of several neurodegenerative diseases, such as Alzheimer's. In this work, we address the use of lifelogging as a tool to obtain pictures from a patient's daily life from an egocentric point of view. We propose to use them in combination with serious games as a way to provide a non-pharmacological treatment to improve their quality of life. To do so, we introduce a novel computer vision technique that classifies rich and non rich egocentric images and uses them in serious games. We present results over a dataset composed by 10,997 images, recorded by 7 different users, achieving 79% of F1-score. Our model presents the first method used for automatic egocentric images selection applicable to serious games.

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Gabriel Oliveira-Barra, Marc Bolaños, Estefania Talavera, Adrián Dueñas, Olga Gelonch, Maite Garolera. 2017-07-27. Serious Games Application for Memory Training Using Egocentric Images. https://arxiv.org/abs/1707.08821

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