Antonio Fernández-Caballero

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Please cite this article in press as: S. Maldonado Comput. Vis. Image Understand. (2009), doi:10 Pattern recognition methods are used in the final stage of a traffic sign detection and recognition system, where the main objective is to categorize a detected sign. Support vector machines have been reported as a good method to achieve this main target due to(More)
This paper introduces a confidence measure scheme in a bimodal camera setup for automatically selecting visible-light or a thermal infrared in response to natural environmental changes. The purpose of the setup is to robustly detect people in dynamic outdoor scenarios under very different conditions. For this purpose, two efficient segmentation algorithms,(More)
Vision-based human action and activity recognition has an increasing importance among the computer vision community with applications to visual surveillance, video retrieval and human–computer interaction. In recent years, more and more datasets dedicated to human action and activity recognition have been created. The use of these datasets allows us to(More)
Model-driven engineering (MDE), implicitly based upon meta-model principles, is gaining more and more attention in software systems due to its inherent benefits. Its use normally improves the quality of the developed systems in terms of productivity, portability, inter-operability and maintenance. Therefore, its exploitation for the development of(More)
This paper introduces a domain ontology to describe learning material that compose a course, capable of providing adaptive e-learning environments and reusable educational resources. Two characteristics have been considered to describe each resource: (1) the most appropriate learning style and, (2) the most satisfactory hardware and software features of the(More)
This work is aimed at the specification of usable adaptive user interfaces. A model-based method is used, which have been proved useful to address this task. The specification created is described in terms of abstract interaction objects, which are translated into concrete interaction objects for each particular platform. An adaptive engine is also proposed(More)
A multi-modal approach for activity classification and fall detection José Carlos Castillo a , Davide Carneiro b , Juan Serrano-Cuerda a , Paulo Novais b , Antonio Fernández-Caballero a & José Neves b a Instituto de Investigación en Informática de Albacete, Universidad de Castilla-La Mancha, Albacete, 02071, Spain b Departamento de Informatica, Universidade(More)
This paper presents an approach to the creation of an agent-based system for the assessment of environmental impact upon human health. As indicators of the environmental impact water pollution, indexes of traffic and industrial activity, wastes and solar radiation are assumed. And as human health indicator morbidity is taken. All the data comprise multiple(More)
This study presents and approach to measure the levels of acute stress in humans by analysing their behavioural patterns when interacting with technological devices. We study the effects of stress on eight behavioural, physical and cognitive features. The data was collected with the participation of 19 users in different phases, with different levels of(More)