Name
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 F1score. Our model presents the first method used for automatic egocentric images selection applicable to serious games. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/978-3-319-70742-6_11 | Lecture Notes in Computer Science |
Keywords | DocType | Volume |
Lifelogging,Serious games,Egocentric vision,Mild cognitive impairment,Machine learning,Computer vision | Conference | 10590 |
ISSN | Citations | PageRank |
0302-9743 | 1 | 0.35 |
References | Authors | |
9 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gabriel Oliveira-Barra | 1 | 2 | 1.06 |
| Marc Bolaños | 2 | 74 | 9.24 |
| Estefanía Talavera | 3 | 27 | 3.41 |
| Adrián Dueñas | 4 | 1 | 0.35 |
| Olga Gelonch | 5 | 1 | 0.35 |
| Maite Garolera | 6 | 22 | 3.97 |