688 research outputs found
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
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