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Ignacio Rojas
Researcher at University of Granada
Publications - 334
Citations - 6315
Ignacio Rojas is an academic researcher from University of Granada. The author has contributed to research in topics: Fuzzy logic & Fuzzy control system. The author has an hindex of 36, co-authored 321 publications receiving 5459 citations. Previous affiliations of Ignacio Rojas include ETH Zurich & Helsinki University of Technology.
Papers
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Journal ArticleDOI
Window Size Impact in Human Activity Recognition
TL;DR: An extensive study to fairly characterize the windowing procedure, to determine its impact within the activity recognition process and to help clarify some of the habitual assumptions made during the recognition system design is presented.
Book ChapterDOI
mHealthDroid: A Novel Framework for Agile Development of Mobile Health Applications
Oresti Banos,Rafael Garcia,Juan A. Holgado-Terriza,Miguel Damas,Héctor Pomares,Ignacio Rojas,Alejandro Saez,Claudia Villalonga +7 more
TL;DR: The mHealthDroid as discussed by the authors is an open source Android implementation of a mHealth Framework designed to facilitate the rapid and easy development of biomedical apps, which leverages the potential of mobile devices like smartphones or tablets, wearable sensors and portable biomedical devices.
Journal ArticleDOI
Design, implementation and validation of a novel open framework for agile development of mobile health applications.
Oresti Banos,Oresti Banos,Claudia Villalonga,Rafael Garcia,Alejandro Saez,Miguel Damas,Juan A. Holgado-Terriza,Sungyong Lee,Héctor Pomares,Ignacio Rojas +9 more
TL;DR: mHealthDroid, an open source Android implementation of a mHealth Framework designed to facilitate the rapid and easy development of mHealth and biomedical apps, and implements several functionalities to support resource and communication abstraction.
Journal ArticleDOI
Prenatal detection of velamentous insertion of the umbilical cord: a prospective color Doppler ultrasound study
TL;DR: The aim of this study was to determine the feasibility of identifying velamentous insertion of the umbilical cord during routine obstetric ultrasound.
Journal ArticleDOI
Soft-computing techniques and ARMA model for time series prediction
Ignacio Rojas,Olga Valenzuela,Fernando Rojas,Alberto Guillén,Luis Javier Herrera,Héctor Pomares,Lozano Marquez,Miguel Pasadas +7 more
TL;DR: A new procedure to predict time series using paradigms such as: fuzzy systems, neural networks and evolutionary algorithms, so that the linear model can be identified automatically, without the need of human expert participation is presented.