Autor según el artículo: Martinez, Estefania Talavera; Leyva-Vallina, Maria; Sarker, Md. Mostafa Kamal; Puig, Domenec; Petkov, Nicolai; Radeva, Petia;
Departamento: Enginyeria Informàtica i Matemàtiques
Autor/es de la URV: Puig Valls, Domènec Savi
Palabras clave: Visualization Tools Semantics Scenes classification Recognition Monitoring Lifestyle Informatics Food scenes Feature extraction Egocentric vision Eating habits Cameras
Resumen: 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.
Áreas temáticas: 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
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 21682208
Direcció de correo del autor: domenec.puig@urv.cat
Identificador del autor: 0000-0002-0562-4205
Fecha de alta del registro: 2023-07-31
Versión del articulo depositado: info:eu-repo/semantics/acceptedVersion
Enlace a la fuente original: https://ieeexplore.ieee.org/document/8735865
Referencia al articulo segun fuente origial: Ieee Journal Of Biomedical And Health Informatics. 24 (3): 866-877
Referencia 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 Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
DOI del artículo: 10.1109/JBHI.2019.2922390
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2020
Tipo de publicación: Journal Publications
Repositori URV