Prof. Antonio Fernández-Caballero
Universidad de Castilla-La Mancha
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Academic Career Length
57Years (1970-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications1 June 2013 in Computer Vision and Image Understanding
Journal Article
JCJose M. Chaquet
Jose M. Chaquet
Enrique J. CarmonaAntonio Fernández-Caballero1 October 2020 in Neurocomputing
Journal Article
JGJuan M. Górriz
Juan M. Górriz
JRJavier Ramírez
Javier Ramírez
AOAndrés Ortíz
Andrés Ortíz
FMFrancisco J. Martínez-Murcia
Francisco J. Martínez-Murcia
FSFermin Segovia
Fermin Segovia
Jose Ferrandez +35
Journal Article
RZRoberto Zangroniz
Roberto ZangronizAMArturo Martinez-Rodrigo
Arturo Martinez-RodrigoJPJose M. Pastor
Jose M. PastorMLMaria Teresa López
Maria Teresa LópezAntonio Fernández-CaballeroThis article introduces a new and unobtrusive wearable monitoring device based on electrodermal activity (EDA) to be used in health-related computing systems. This paper introduces the description of the wearable device capable of acquiring the EDA of a subject in order to detect his/her calm/distress condition from the acquired physiological signals. The lightweight wearable device is placed in the wrist of the subject to allow continuous physiological measurements. With the aim of validating the correct operation of the wearable EDA device, pictures from the International Affective Picture System are used in a control experiment involving fifty participants. The collected signals are processed, features are extracted and a statistical analysis is performed on the calm/distress condition classification. The results show that the wearable device solely based on EDA signal processing reports around 89% accuracy when distinguishing calm condition from distress condition.
1 December 2016 in Journal of Biomedical Informatics
Journal Article
Antonio Fernández-CaballeroAMArturo Martinez-Rodrigo
Arturo Martinez-RodrigoJPJose M. Pastor
Jose M. Pastor
José Carlos CastilloELElena Lozano-Monasor
Elena Lozano-Monasor
AFAlicia Fernández-Sotos
Alicia Fernández-Sotos
+3
1 May 2009 in Expert Systems with Applications
Journal Article
JMJuan L. Mateo
Juan L. MateoAntonio Fernández-Caballero1 January 2019 in IEEE Transactions on Affective Computing
Journal Article
BMBeatriz Garcia Martinez
Beatriz Garcia MartinezAMArturo Martinez-Rodrigo
Arturo Martinez-RodrigoRMRaul Alcaraz Martinez
Raul Alcaraz MartinezAntonio Fernández-CaballeroElectroencephalographic (EEG) recordings are receiving growing attention in the field of emotion recognition, since they monitor the brain's first response to an external stimulus. Traditionally, EEG signals have been studied from a linear viewpoint by means of statistical and frequency features. Nevertheless, given that the brain follows a completely nonlinear and nonstationary behavior, linear metrics present certain important limitations. In this sense, the use of nonlinear methods has recently revealed new information that may help understanding how the brain works under a series of emotional states. Hence, this paper summarizes the most recent works that have applied nonlinear methods in EEG signal analysis to emotion recognition. This paper also identifies some nonlinear indices that have not yet been employed in this research area.
About Me
Antonio Fernández-Caballero received his Master's degree in Computer Science from the School of Computer Science at the Technical University of Madrid, Spain, and his Ph.D. from the Department of Artificial Intelligence at the National University for Distance Education, Spain. From 1984 to 1995, he worked in Madrid, Spain, for the private enterprises Local Area Networks and Andersen Consulting. From 1995 to 1996, he worked in the province of Albacete as a consultant for the modernization of computer systems at companies Quesos FORLASA and Tableros TALSA. In 1995, he started teaching at the University of Castilla-La Mancha as a lecturer in the Faculty of Law, Degree in Public Administration and Management. Since 1996, he has been a Professor and Researcher in the Department of Computer Science Systems at the University of Castilla-La Mancha, Spain, at the Polytechnical Superior School of Albacete. He has been the head of the n&aIS (Natural and Artificial Interaction Systems) team, which belongs to the LoUISE (Laboratory on User Interfaces and Software Engineering) research laboratory at the Computer Science Research Institute at Albacete (i3A) since 2001. His research interests include computer vision, pattern recognition, human-machine interaction, and multi-agent systems.