Espectrometría infrarroja con array de fotodetectores

Peer Reviewe

Trip destination prediction based on past GPS log using a Hidden Markov Model

In this paper, a system based on the generation of a Hidden Markov Model from the past GPS log and cur- rent location is presented to predict a user’s destination when beginning a new trip. This approach dras- tically reduces the number of points supplied by the GPS device and it permits a ‘‘support-map” to be generated in which the main characteristics of the trips for each user are taken into account. Hence, in contrast with other similar approaches, total independence from a street-map database is achievedMinisterio de Educación y Ciencia TSI2006–13390-C02–02Junta de Andalucia TIC214

Outdoor exit detection using combined techniques to increase GPS efficiency

The recent boom of GPS (Global Positioning System) as a universal method of location has meant that most people in developed countries have already used this technology sometime in their lives. However, this system suffers from an ever-increasing problem: energy expenditure. GPS receivers have been integrated into increasingly smaller devices such as the latest generation of mobiles, thereby making batterysaving a priority in the use of this technology. This article lays out a series of ideas which, through the use of auxiliary technologies, are able to maximize energy saving. By means of outdoor exit detection, it will be possible to automatically disconnect the GPS while the user stays indoors and later reconnect it on leaving the building.Ministerio de Ciencia e Innovación ARTEMISA TIN2009-14378-C02-0

Discrete classification technique applied to TV advertisements liking recognition system based on low‑cost EEG headsets

Background: In this paper a new approach is applied to the area of marketing research. The aim of this paper is to recognize how brain activity responds during the visualization of short video advertisements using discrete classification techniques. By means of low cost electroencephalography devices (EEG), the activation level of some brain regions have been studied while the ads are shown to users. We may wonder about how useful is the use of neuroscience knowledge in marketing, or what could provide neuroscience to marketing sector, or why this approach can improve the accuracy and the final user acceptance compared to other works. Methods: By using discrete techniques over EEG frequency bands of a generated dataset, C4.5, ANN and the new recognition system based on Ameva, a discretization algorithm, is applied to obtain the score given by subjects to each TV ad. Results: The proposed technique allows to reach more than 75 % of accuracy, which is an excellent result taking into account the typology of EEG sensors used in this work. Furthermore, the time consumption of the algorithm proposed is reduced up to 30 % compared to other techniques presented in this paper. Conclusions: This bring about a battery lifetime improvement on the devices where the algorithm is running, extending the experience in the ubiquitous context where the new approach has been tested.Ministerio de Economía y Competitividad HERMES TIN2013-46801-C4-1-rJunta de Andalucia Simon TIC-805

Prosthetic Memory: Object Memories and Security for Children

Children younger than 3 years old are very special humans, their psychomotor and social development is very fast and parents and relatives would like to know every new detail (when, who, where, what, how and why) in real time. These news are difficult to remember and some kind of diary is needed. Here we propose a “prosthetic memory” based on Digital Object Memories applied to Web of Things using hidden NFC tags in children’s clothes, mobile applications for smartphones and a central server to store the ontologized information

¿Where do we go? OnTheWay: A prediction system for spatial locations

Ponencia presentada en: I International Conference on Ubiquitous Computing. Alcalá de Henares, Madrid, Spain, June 7-9, 2006In ubiquitous computing we need to know the present context in order to interact properly with the nearby smart elements. When we are moving outdoors, mobile devices take a very important role because they provide us with a link between the world outside and ourselves through means of intelligent interfaces. There are a lot of situations in which it would be very useful to know or foresee the future context, i.e. as a geographic environment, in which we could find ourselves in a near future, and at the same time being able to use that information from our devices. Therefore we must preview this location with enough precision and time and be able to use this information from our mobile device. In our “OnTheWay” system, we used GPS technology and databases made of past paths taken by a person, in order to predict the next location, once we had begun a new course, comparing the new one with those ones stored. The results were amazing: from the data collected about paths travelled during a month and five days, we got the actual destination in 98% of cases, when we have only made a 30,35% of the total path. Therefore, including statistic and semantic information will allow us to upgrade our results, due to the sedentary human behaviour, the small number of frequently visited locations and the fact that the paths used to arrive to these locations are usually the sam

Service-Oriented Device Integration for Ubiquitous Ambient Assisted Living Environments

As a result of the increment of population in countries of Europe, a lot of efforts from European Authorities are coming from. In our research we want to bring forward a suite of developments related to build a ubiquitous AAL (Ambient Assisted Living) environment. We consider that recent approaches are based on ad-hoc technologies so its application is in this context isolated just in one domain of application. Our approach addresses to a reliable services platform for heterogeneous devices integration. On this basis we want to consider as well, the underlying benefits that a Service-oriented platform is giving to us in our Ambient Assisted Living Applications.Ministerio de Educación y Ciencia TSI2006-13390-C02-02Junta de Andalucía TIC-2141Ministerio de Industria, Turismo y Comercio TSI-020400-2008-11

Interaction control in children using NFC tags

Children younger than 3 years old are very special humans, their psychomotor and social development is very fast and parents and relatives would like to know every new detail (when, who, where, what, how and why) in real time. These news are difficult to remember and some kind of diary is needed. Here we propose a “prosthetic memory” based on Digital Object Memories applied to Web of Things using hidden NFC tags in children’s clothes, mobile applications for smartphones and a cen tral server to store the ontologized information

Mobile Architecture for Communication and Development of Applications Based on Context

The arrival of ubiquitous computing and the increasing use of mobile devices can geta lot of information about the user. This information is used by some applications to adapt its functionality to the user itself and the surrounding environment. In this way the applications need to become more autonomous and less each time user interaction. However, the computational cost, battery consumption and the complex process of obtaining useful information from sensory data means that many applications do not use this information in a massive way. This research proposes a framework and a middleware for the development, implementation and communication of contextual applications. Using this architecture allows communication between applications so that they can share applications without contextual information should both generate. Thanks to definition of a SOA platform,subscription to services provided by other applications is possible through the middleware.Ministerio de Ciencia e Innovación TSI2006-13390-C02-02Ministerio de Ciencia e Innovación TIN2009-14378- C02-0

Tracking system based on accelerometry for users with restricted physical activity

This article aims to develop a minimally intrusive system of care and monitoring. Furthermore, the goal is to get a cheap, comfortable and, especially, efficient system which controls the physical activity carried out by the user. All this, is based on the data of accelerometry analysis which are obtained by a mobile phone. Besides this, we will develop a comprehensive system for consulting the activity obtained in order to provide families and care staff an interface through which to observe the condition of the individual subject to monitoring.Ministerio de Ciencia e Innovación ARTEMISA TIN2009-14378-C02-01Ministerio de Ciencia e Innovación FAMENET TSI2006-13390-C02-02Junta de Andalucía CUBICO TIC214