Listar por autor "Delgado-Escaño, Rubén"
Mostrando ítems 1-7 de 7
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A cross-dataset deep learning-based classifier for people fall detection and identification
Delgado-Escaño, Rubén; Castro, Francisco M.; Ramos-Cózar, Julián
; Marín-Jiménez, Manuel J.; Guil-Mata, Nicolás; Casilari-Pérez, Eduardo[et al.] (Elsevier, 2020)
This paper addresses the issue of fall detection, particularly for elderly individuals who may live alone and be unable to call for help after a fall. The objective is to develop a deep learning-based approach that can ... -
An End-to-End Multi-Task and Fusion CNN for Inertial-Based Gait Recognition.
Delgado-Escaño, Rubén; Castro, Francisco M.; Ramos-Cózar, Julián; Marín Jiménez, Manuel Jesús; Guil-Mata, Nicolás (IEEE, 2019)
People identification using gait information (i.e., the way a person walks) obtained from inertial sensors is a robust approach that can be used in multiple situations where vision-based systems are not applicable. Typically, ... -
Automatic Extraction of Biometric Descriptors Based on Gait
(UMA Editorial, 2023)Nowadays, people identification is a topic of interest due to its implications in terms of safety, service automation and sanitary control. Historically, people have been identified by using its face, iris, or fingerprints. ... -
Dispositivo inteligente para monitorización inalámbrica de pila de compostaje.
(2023)Este proyecto surge por la necesidad de automatizar, monitorizar y controlar de forma eficiente todo el proceso de tratamiento y creación del compost de la estación ubicada en el huerto docente de la Facultad de Ciencias ... -
Gait recognition and fall detection with inertial sensors
Delgado-Escaño, Rubén; Castro, Francisco M.; Marín-Jiménez, Manuel J.; Guil-Mata, Nicolás (2019-11-26)
In contrast to visual information that is recorded by cameras placed somewhere, inertial information can be obtained from mobile phones that are commonly used in daily life. We present in this talk a general deep learning ... -
Identificación de personas por su forma de andar usando sensores inerciales
(2018-02-22)El estudio analítico sobre la forma de caminar de cada persona y de cómo puede utilizarse esto para identificar de manera inequívoca a cada individuo es lo que se tratará en el presente Trabajo de Fin de Grado (TFG). Se ... -
A weakly-supervised approach for discovering common objects in airport video surveillance footage
Castro Payán, Francisco Manuel; Delgado-Escaño, Rubén; Guil-Mata, Nicolás; Marín-Jiménez, Manuel J. (2019-07-22)
Object detection in video is a relevant task in computer vision. Standard and current detectors are typically trained in a strongly supervised way, what requires a huge amount of labelled data. In contrast, in this paper ...