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Research Project
MODELOS DE ESPAÇO DINÂMICOS PARA AMBIENTES SENSÍVEIS AO CONTEXTO
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Publications
Groups and frequent visitors shaping the space dynamics
Publication . Baras, Karolina; Moreira, Adriano
Our research is about a dynamic symbolic space model that
is fed with data from the environment by a set of processing modules that
receive raw data from sensor networks. For the conducted experiments
we have been using data from a WiFi network as it is a widely available
infrastructure in our campus. Here we propose two processing modules
which will provide more information about the spaces described in the
model. The first one tries to implement our human perception of the
usual visitors of a place using two measures, the long term and the short
term tenant level. The second one detects where groups of users emerge,
how many there are and what are their dimensions. Based on this new
perspective of the campus we intend to realize how the presence of people
shapes the dynamics of a space.
Navigation based on symbolic space models
Publication . Baras, Karolina; Moreira, A.; Meneses, F.
Existing navigation systems are very appropriate
for car navigation, but lack support for convenient
pedestrian navigation and cannot be used indoors due to
GPS limitations. In addition, the creation and the
maintenance of the required models are costly and time
consuming, and are usually based on proprietary data
structures. In this paper we describe a navigation system
based on a human inspired symbolic space model. We argue
that symbolic space models are much easier to create and to
maintain, and that they can support routing applications
based on self-locating through the recognition of nearby
features. Our symbolic space model is supported by a
federation of servers where the spatial descriptions are
stored, and which provide interfaces for feeding and
querying the model. Local models residing in different
servers may be connected between them, thus contributing
to the system scalability. 1
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Funding agency
Fundação para a Ciência e a Tecnologia
Funding programme
Funding Award Number
SFRH/BD/36046/2007