DeustoTeka
DeustoTeka recoge la producción científica del personal docente e investigador de la Universidad de Deusto. Su propósito es reunir, archivar, preservar y aumentar la visibilidad en acceso abierto de los resultados de investigación.
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Cultural institutions as a combat sport: reflections on the European Roma Institute
(Universidad de Jaén, 2016-12-20) Magazzini, Tina
This article aims at problematizing the relation between identity recognition, economic redistribution, and political representation in the debate around Roma inclusion in contemporary Europe. Given that culture has increasingly become politicized, by analyzing the emergence of the European Roma Institute for Arts and Culture I reflect on the political and economic potential and drawbacks that cultural identity holds in a European society in which capitalism has turned into a cultural trait.
PNV y Convergència nunca fueron iguales una historia inacabada del uso estratégico del debate territorial
(Universidad Autónoma de Barcelona = Universitat Autònoma de Barcelona, Institut de Ciències Polítiques i Socials, 2016-07) Gómez Fortes, Braulio
; Cabeza Pérez, Laura
Kinect-based virtual game for the elderly that detects incorrect body postures in real time
(MDPI AG, 2016-05-16) Saenz De Urturi Breton, Zelai ; García-Zapirain, Begoña
Poor posture can result in loss of physical function, which is necessary to preserving independence in later life. Its decline is often the determining factor for loss of independence in the elderly. To avoid this, a system to correct poor posture in the elderly, designed for Kinect-based indoor applications, is proposed in this paper. Due to the importance of maintaining a healthy life style in senior citizens, the system has been integrated into a game which focuses on their physical stimulation. The game encourages users to perform physical activities while the posture correction system helps them to adopt proper posture. The system captures limb node data received from the Kinect sensor in order to detect posture variations in real time. The DTW algorithm compares the original posture with the current one to detect any deviation from the original correct position. The system was tested and achieved a successful detection percentage of 95.20%. Experimental tests performed in a nursing home with different users show the effectiveness of the proposed solution.
A comparative study on the performance of evolutionary fuzzy and crisp rule based classification methods in congestion prediction
(Elsevier B.V., 2016) Onieva Caracuel, Enrique; López García, Pedro
; Masegosa Arredondo, Antonio David
; Osaba, Eneko
; Perallos Ruiz, Asier
Accurate estimation of the future state of the traffic is an attracting area for researchers in the field of Intelligent Transportation Systems (ITS). This kind of predictions can lead to traffic managers and drivers to act in consequence, reducing the economic and social impact of a possible congestion. Due to the inter-urban traffic information nature, the task of predicting the future state of the traffic requires, in most cases, a non-linear patterns search in the input data. In recent years, a wide variety of models has been used to solve this problem in the most accurate way. Due to that, models generated to provide information about the future state of the road are, usually, incomprehensible to a human operator, making impossible to give him/her an explanation about the causes of the prediction. Given the capacity of rule based systems to explain the reasoning followed to classify a new pattern, the advantages and disadvantages of such approaches are explored in this work. To conduct such task, datasets recorded from the California Department of Transportation are created. A 9-kilometer section of the I5 highway of Sacramento is used for this research. Two different types of datasets are built for the experimentation. One of them contains the entire information recorded. The other one contains with a simplified version of the information, considering only the first, middle and last monitored points of the road. Twelve prediction horizons, from 5 to 60 minutes, were considered for prediction. An experimental comparative study involving 16 state of the art techniques is performed. Techniques tested include those that fall within the categories of Evolutionary Crisp Rule Learning (ECRL) and Evolutionary Fuzzy Rule Learning (EFRL). These methods were selected since they offer to the final user, not only a prediction, but also a legible model about the way in which the decision was taken. Techniques are compared in terms of accuracy and complexity of the models generated.
A robot-based tool for physical and cognitive rehabilitation of elderly people using biofeedback
(MDPI, 2016-11-24) Lopez Samaniego, Leire; García-Zapirain, Begoña
This publication presents a complete description of a technological solution system for the physical and cognitive rehabilitation of elderly people through a biofeedback system, which is combined with a Lego robot. The technology used was the iOS’s (iPhone Operating System) Objective-C programming language and its XCode programming environment; and SQLite in order to create the database. The biofeedback system is implemented by the use of two biosensors which are, in fact, a Microsoft band 2 in order to register the user’s heart rate and a MYO sensor to detect the user’s arm movement. Finally, the system was tested with seven elderly people from La Santa y Real Casa de la Misericordia nursing home in Bilbao. The statistical assessment has shown that the users are satisfied with the usability of the system, with a mean score of 79.29 on the System Usability Scale (SUS) questionnaire.