Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Javier Macias-Guarasa"'
Autor:
Paula Obeso-Benítez, Marta Pérez-de-Heredia-Torres, Elisabet Huertas-Hoyas, Patricia Sánchez-Herrera-Baeza, Nuria Máximo-Bocanegra, Sergio Serrada-Tejeda, Marta Marron-Romera, Javier Macias-Guarasa, Cristina Losada-Gutierrez, Sira E. Palazuelos-Cagigas, Jose L. Martin-Sanchez, Rosa M. Martínez-Piédrola
Publikováno v:
Applied Sciences, Vol 14, Iss 8, p 3415 (2024)
The EYEFUL system represents a pioneering initiative designed to leverage multisensory systems for the automatic evaluation of functional ability and determination of dependency status in people performing activities of daily living. This interdiscip
Externí odkaz:
https://doaj.org/article/6c0c9752bc844b26bb8df9af6e0246c4
Publikováno v:
IEEE Access, Vol 10, Pp 37345-37359 (2022)
Training Deep Neural Networks to solve semantic segmentation is a challenging problem with small-size labeled datasets, leading to overfitting. This is especially problematic in medical images, and in particular, in laparoscopic surgery images. In th
Externí odkaz:
https://doaj.org/article/38e2ad2bac834805996bb384847ab929
Publikováno v:
Sensors, Vol 23, Iss 15, p 6969 (2023)
This paper presents GAVT, a highly accurate audiovisual 3D tracking system based on particle filters and a probabilistic framework, employing a single camera and a microphone array. Our first contribution is a complex visual appearance model that acc
Externí odkaz:
https://doaj.org/article/f9cf633cf1204dbaa6e4dfdf5708387f
Publikováno v:
Sensors, Vol 18, Iss 10, p 3418 (2018)
This paper presents a novel approach for indoor acoustic source localization using microphone arrays, based on a Convolutional Neural Network (CNN). In the proposed solution, the CNN is designed to directly estimate the three-dimensional position of
Externí odkaz:
https://doaj.org/article/58efc43346d946d5b4b1268d01ce440d
Publikováno v:
Sensors, Vol 12, Iss 10, Pp 13781-13812 (2012)
This paper presents a novel approach for indoor acoustic source localization using sensor arrays. The proposed solution starts by defining a generative model, designed to explain the acoustic power maps obtained by Steered Response Power (SRP) strate
Externí odkaz:
https://doaj.org/article/151b776e00ed4e41b6e739059a3ae059
Autor:
Francesco Potortì, Sangjoon Park, Antonio Ramón Jiménez Ruiz, Paolo Barsocchi, Michele Girolami, Antonino Crivello, So Yeon Lee, Jae Hyun Lim, Joaquín Torres-Sospedra, Fernando Seco, Raul Montoliu, Germán Martin Mendoza-Silva, Maria Del Carmen Pérez Rubio, Cristina Losada-Gutiérrez, Felipe Espinosa, Javier Macias-Guarasa
Publikováno v:
Sensors, Vol 17, Iss 10, p 2327 (2017)
In recent years, indoor localization systems have been the object of significant research activity and of growing interest for their great expected social impact and their impressive business potential. Application areas include tracking and navigati
Externí odkaz:
https://doaj.org/article/21aac215094b4c8fa4ccf3b8562984b5
Autor:
Javier Tejedor, Javier Macias-Guarasa, Hugo F. Martins, Juan Pastor-Graells, Pedro Corredera, Sonia Martin-Lopez
Publikováno v:
Applied Sciences, Vol 7, Iss 8, p 841 (2017)
There is an increasing interest in researchers and companies on the combination of Distributed Acoustic Sensing (DAS) and a Pattern Recognition System (PRS) to detect and classify potentially dangerous events that occur in areas above fiber optic cab
Externí odkaz:
https://doaj.org/article/f626fbe6c8a2482bb15def9510401ceb
Autor:
Carlos A. Luna, Javier Macias-Guarasa, Cristina Losada-Gutierrez, Marta Marron-Romera, Manuel Mazo, Sara Luengo-Sanchez, Roberto Macho-Pedroso
Publikováno v:
Sensors, Vol 17, Iss 8, p 1845 (2017)
In this paper, we address the generation of semantic labels describing the headgear accessories carried out by people in a scene under surveillance, only using depth information obtained from a Time-of-Flight (ToF) camera placed in an overhead positi
Externí odkaz:
https://doaj.org/article/f1636a9d6da147e7b50e7429864aa3f1
Autor:
Javier Tejedor, Javier Macias-Guarasa, Hugo F. Martins, Daniel Piote, Juan Pastor-Graells, Sonia Martin-Lopez, Pedro Corredera, Miguel Gonzalez-Herraez
Publikováno v:
Sensors, Vol 17, Iss 2, p 355 (2017)
This paper presents a novel surveillance system aimed at the detection and classification of threats in the vicinity of a long gas pipeline. The sensing system is based on phase-sensitive optical time domain reflectometry (ϕ-OTDR) technology for sig
Externí odkaz:
https://doaj.org/article/b66be3aaef7a49b0ab2ad5a5e12a0b18
Autor:
Muhammad Adeel, Javier Tejedor, Saeed Iqbal, Muhammad Muaz, Aadil Raza, Javier Macias-Guarasa
Publikováno v:
Optical and Quantum Electronics. 55