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The Spanish Ministry of Defense, through its Future Combatant program, has sought to develop technology aids with the aim of extending combatants' operational capabilities. Within this framework the ATREC project funded by the "Coincidente" program aims at analyzing diverse biometrics to assess by real time monitoring the stress levels of combatants. This(More)
This paper deals with the application of Neural Networks (NNs) to the problem of Traffic Sign Recognition (TSR). The NN chosen to implement the TSR system is the Multilayer Perceptron (MLP). Two ways to reduce the computational cost in order to facilitate the real time implementation are proposed. The first one reduces the number of MLP inputs by(More)
Determining the stress level of a subject in real time could be of special interest in certain professional activities to allow the monitoring of soldiers, pilots, emergency personnel and other professionals responsible for human lives. Assessment of current mental fitness for executing a task at hand might avoid unnecessary risks. To obtain this knowledge,(More)
Microvertebrate fossils are used in biochronology to determinate the age of geological layers with a high grade of accuracy, and in paleoecology to extract information about the past enviroment. Actual techniques used to extract microfossils are manual, and require of a high amount of time and human resources. This fact make interesting the study of other(More)
Since there are several applications of Electrical Bioimpedance (EBI) that use the Cole parameters as base of the analysis, to fit EBI measured data onto the Cole equation is a very common practice within Multifrequency-EBI and spectroscopy. The aim of this paper is to compare different fitting methods for EBI data in order to evaluate their suitability to(More)