Autor segons l'article: Martinez, Estefania Talavera; Leyva-Vallina, Maria; Sarker, Md. Mostafa Kamal; Puig, Domenec; Petkov, Nicolai; Radeva, Petia;
Departament: Enginyeria Informàtica i Matemàtiques
Autor/s de la URV: Puig Valls, Domènec Savi
Paraules clau: Visualization Tools Semantics Scenes classification Recognition Monitoring Lifestyle Informatics Food scenes Feature extraction Egocentric vision Eating habits Cameras
Resum: Recent studies have shown that the environment where people eat can affect their nutritional behavior [1]. In this paper, we provide automatic tools for personalized analysis of a person's health habits by the examination of daily recorded egocentric photo-streams. Specifically, we propose a new automatic approach for the classification of food-related environments, that is able to classify up to 15 such scenes. In this way, people can monitor the context around their food intake in order to get an objective insight into their daily eating routine. We propose a model that classifies food-related scenes organized in a semantic hierarchy. Additionally, we present and make available a new egocentric dataset composed of more than 33 000 images recorded by a wearable camera, over which our proposed model has been tested. Our approach obtains an accuracy and F-score of 56% and 65%, respectively, clearly outperforming the baseline methods.
Àrees temàtiques: Medical informatics Mathematical & computational biology Health information management Health informatics General medicine Engenharias iv Electrical and electronic engineering Educação física Computer science, interdisciplinary applications Computer science, information systems Computer science applications Ciência da computação Biotechnology
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 21682208
Adreça de correu electrònic de l'autor: domenec.puig@urv.cat
Identificador de l'autor: 0000-0002-0562-4205
Data d'alta del registre: 2023-07-31
Versió de l'article dipositat: info:eu-repo/semantics/acceptedVersion
Referència a l'article segons font original: Ieee Journal Of Biomedical And Health Informatics. 24 (3): 866-877
Referència de l'ítem segons les normes APA: Martinez, Estefania Talavera; Leyva-Vallina, Maria; Sarker, Md. Mostafa Kamal; Puig, Domenec; Petkov, Nicolai; Radeva, Petia; (2020). Hierarchical Approach to Classify Food Scenes in Egocentric Photo-Streams. Ieee Journal Of Biomedical And Health Informatics, 24(3), 866-877. DOI: 10.1109/JBHI.2019.2922390
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2020
Tipus de publicació: Journal Publications
Repositori URV