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Fernandez-Caballero A.,Institute Investigacion En Informatica Of Albacete I3A | Fernandez-Caballero A.,University of Castilla - La Mancha | Castillo J.C.,University of Lisbon | Lopez M.T.,Institute Investigacion En Informatica Of Albacete I3A | And 4 more authors.
Expert Systems with Applications | Year: 2013

The INT3-Horus framework, dedicated to monitoring and activity interpretation in intelligent environments is introduced. Firstly, the paper introduces a general description of the INT3-Horus approach. The following aspects of the proposal are highlighted: the framework is multisensory by nature and includes information fusion abilities; it is based on the model-view-controller paradigm; it is defined as a hybrid distributed system; it incorporates a Common Model that houses the data structures to support the exchange of information between levels of the framework. Then, the INT 3-Horus framework ontological model is introduced. The ontology is composed of a couple of classes, namely the Level Class and the DataType Class. The paper also describes the relations between both classes, as well as it introduces the notion of set of rules which determine the system functionality for a given domain. Lastly, a case of study on elderly fall detection is described to show the efficiency of the proposed framework. © 2013 Elsevier Ltd. All rights reserved.


Fernandez-Caballero A.,Institute Investigacion En Informatica Of Albacete I3A | Fernandez-Caballero A.,University of Castilla - La Mancha | Sokolova M.V.,Institute Investigacion En Informatica Of Albacete I3A | Sokolova M.V.,Kursk State University | Serrano-Cuerda J.,Institute Investigacion En Informatica Of Albacete I3A
The Scientific World Journal | Year: 2013

Fall detection is an emergent problem in pattern recognition. In this paper, a novel approach which enables to identify a type of a fall and reconstruct its characteristics is presented. The features detected include the position previous to a fall, the direction and velocity of a fall, and the postfall inactivity. Video sequences containing a possible fall are analysed image by image using the lateral inhibition in accumulative computation method. With this aim, the region of interest of human figures is examined in each image, and geometrical and kinematic characteristics for the sequence are calculated. The approach is valid in colour and in infrared video. © 2013 Antonio Fernández-Caballero et al.


Gascuena J.M.,Institute Investigacion En Informatica Of Albacete I3A | Navarro E.,Institute Investigacion En Informatica Of Albacete I3A | Navarro E.,University of Castilla - La Mancha | Fernandez-Caballero A.,Institute Investigacion En Informatica Of Albacete I3A | Fernandez-Caballero A.,University of Castilla - La Mancha
Engineering Applications of Artificial Intelligence | Year: 2012

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 multi-agent systems (MAS) emerges in a natural way. In this paper, agent-oriented software development (AOSD) and MDE paradigms are fully integrated for the development of MAS. Meta-modeling techniques are explicitly used to speed up several phases of the process. The Prometheus methodology is used for the purpose of validating the proposal. The meta-object facility (MOF) architecture is used as a guideline for developing a MAS editor according to the language provided by Prometheus methodology. Firstly, an Ecore meta-model for Prometheus language is developed. Ecore is a powerful tool for designing model-driven architectures (MDA). Next, facilities provided by the Graphical Modeling Framework (GMF) are used to generate the graphical editor. It offers support to develop agent models conform to the meta-model specified. Afterwards, it is also described how an agent code generator can be developed. In this way, code is automatically generated using as input the model specified with the graphical editor. A case of study validates the method put in practice for the development of a multi-agent surveillance system. © 2011 Elsevier Ltd. All rights reserved.


Oliver M.,Institute Investigacion En Informatica Of Albacete I3A | Oliver M.,University of Castilla - La Mancha | Molina J.P.,Institute Investigacion En Informatica Of Albacete I3A | Molina J.P.,University of Castilla - La Mancha | And 6 more authors.
Advances in Intelligent Systems and Computing | Year: 2014

Today, the population is aging, and this is becoming a problem for current health systems, as each day it has to invest more money in treating the elderly. Rehabilitation of elderly patients with physical disabilities is one of these problems that everyday incur greater overhead to health care. This paper provides a gerontechnology-based solution by proposing a multisensory system for rehabilitation in an intelligent environment. The proposal enables helping needed people and thus reducing the cost of health care. © Springer International Publishing Switzerland 2014.


Durango I.,Institute Investigacion En Informatica Of Albacete I3A | Carrascosa A.,Institute Investigacion En Informatica Of Albacete I3A | Penichet V.M.R.,University of Castilla - La Mancha | Gallud J.A.,University of Castilla - La Mancha
ACM International Conference Proceeding Series | Year: 2015

After several months of therapeutic work on Mateo, a child with special needs, the therapist of the Child Development and Early Intervention Centre (CDIAT) observed with astonishment how the child correctly associated the fruits with the corresponding pictograms. That was after only a few sessions using the Interactive Fruit Panel presented in this article. The interactive application described in this paper is a way to digitize one of the games commonly used by CDIAT therapists to help children to associate real objects (fruits in this case) with their graphical representation (pictogram) in a therapeutic activity using real objects as the interactive basis. This article summarizes the description of the proposed system, as well as the results obtained from a pilot test with real participants in collaboration with professionals from CDIAT. The preliminary results show how children with special needs achieved learning goals faster with the interactive panel, and how the children's attention improved. © 2015 ACM.


Fuentes J.A.,Institute Investigacion En Informatica Of Albacete I3A | Oliver M.,Institute Investigacion En Informatica Of Albacete I3A | Montero F.,Institute Investigacion En Informatica Of Albacete I3A | Montero F.,University of Castilla - La Mancha | And 4 more authors.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2013

To date there are many solutions in the field of assistive technologies addressing different kinds of disabilities. Each solution has opted for very specific (and incompatible) hardware and software technologies. Recently, new devices initially destined to electronic entertainment are appearing. They have joined in a single sensor various types of technologies typical for assistance. In this paper, we show and evaluate how RGB-D sensors are capable of replacing traditional heterogeneous technologies and a single device covers several products in the field of multimodal human-computer interaction and assistive technologies. Furthermore, a prototype of a software equivalent to a traditional assistive technology product is shown. © 2013 Springer-Verlag.


Castillo J.C.,Institute Investigacion En Informatica Of Albacete I3A | Fernandez-Caballero A.,Institute Investigacion En Informatica Of Albacete I3A | Fernandez-Caballero A.,University of Castilla - La Mancha | Serrano-Cuerda J.,Institute Investigacion En Informatica Of Albacete I3A | Sokolova M.V.,Institute Investigacion En Informatica Of Albacete I3A
Frontiers in Artificial Intelligence and Applications | Year: 2012

The INT3-Horus framework, dedicated to intelligent monitoring and activity interpretation with special application in advanced surveillance systems, is introduced. INT3-Horus is presented in two parts. This paper introduces the first part which is dedicated to provide a general description of the approach. The following aspects of the proposal are highlighted: the framework is multisensory by nature and includes information fusion abilities; it is based on the model-view-controller paradigm; it is defined as a hybrid distributed system; it incorporates a Common Model that houses the data structures to support the exchange of information between levels of the framework. The currently available INT3-Horus processing levels are also described in this paper. The second part introduces the ontological model of the framework [14]. © 2012 The authors and IOS Press. All rights reserved.


Castillo J.C.,Institute Investigacion En Informatica Of Albacete I3A | Fernandez-Caballero A.,University of Castilla - La Mancha | Lopez M.T.,University of Castilla - La Mancha
Proceedings - 2011 7th International Conference on Intelligent Environments, IE 2011 | Year: 2011

Modern intelligent monitoring and interpretation systems manage several kinds of heterogeneous sensor networks and use outstanding segmentation and tracking algorithms. Monitoring has evolved from initial systems based on low resolution cameras, directly connected to a monitor, up to distributed systems where several sensors cooperate not only to track objects of interest but also to detect suspicious behaviors based on artificial intelligence techniques. In our opinion, frameworks are essential to provide design and implementation patterns for generating a widespread variety of monitoring and interpretation applications, allowing the interaction of different modules and the reuse of code. In this sense, this paper proposes the implementation of a multi sensory monitoring and interpretation framework based on the model-view-controller paradigm but extended to distributed intelligent systems. © 2011 IEEE.


Fuentes J.A.,Institute Investigacion En Informatica Of Albacete I3A | Oliver M.,Institute Investigacion En Informatica Of Albacete I3A | Fernandez-Caballero A.,University of Castilla - La Mancha
ACM International Conference Proceeding Series | Year: 2012

Currently, there are many solutions in the field of assistive technologies addressing some kinds of disabilities. Each solution has opted for very specific and incompatible technologies. Recently, new devices initially destined to electronic entertainment are appearing. These kind of devices have joined in a single sensor various types of technologies typical for assistance. In this paper, we show how theses kind of sensors also called RGB-D sensors are capable of replacing traditional heterogeneous technologies and a single device covers several solutions in the field of multimodal human-computer interaction and assistive technologies. Furthermore, a prototype of a software equivalent to a traditional assistive technology product is shown. Copyright 2012 ACM.


Serrano-Cuerda J.,Institute Investigacion En Informatica Of Albacete I3A | Lopez M.T.,University of Castilla - La Mancha | Fernandez-Caballero A.,University of Castilla - La Mancha
Proceedings - 2011 7th International Conference on Intelligent Environments, IE 2011 | Year: 2011

This paper is related to ambient intelligence systems capable of locating and tracking humans. These are the first steps of a human-centered ambient intelligent system, ranging from data acquisition to robust tracking, for the purpose of interpreting human behaviors in monitored environments. The first objective is to improve human detection through the fusion of thermal-infrared and color video segmentation. On the level following to segmentation, the traditional tracking problems (e.g. occlusions, crossings, etc.) are faced. Finally, the use of several classifiers such as support-vector machines and artificial neural networks are proposed to enhance the tracking level. The work proposes a combination of both color and thermal infrared spectra in human tracking. © 2011 IEEE.

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