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Removing useless APs and fingerprints from WiFi indoor positioning radio maps

Eisa, Samih; Peixoto, João; Meneses, Filipe; Moreira, Adriano

Maintaining consistent radio maps for WiFi fingerprinting-based indoor positioning systems is an essential step to improve the performance of the positioning engines. The radio maps consist of WiFi fingerprints collected at a predefined set of positions/places within a positioning area. Each fingerprint consists of the identification and radio signal level of the surrounding Access Points (APs). Due to the wide...


Delay-tolerant positioning for location-based logging with mobile devices

Coelho, André; José, Rui; Meneses, Filipe

In this paper, we explore the viability and possible limitations of a delay-tolerant positioning process for location-based logging. Instead of esti- mating the device position on the device, a delay-tolerant technique stores the radio and Wi-Fi data needed to calculate that position, sends it to a server when appropriate, and it is the server that will calculate the position. This is ...


Combining similarity functions and majority rules for multi-building, multi-flo...

Marques, Nelson; Meneses, Filipe; Moreira, Adriano

Fingerprint is one of the most widely used methods for locating devices in indoor wireless environments and we have witnessed the emergence of several positioning systems aimed for indoor environments based on this approach. However, additional efforts are required in order to improve the performance of these systems so that applications that are highly dependent on user location can provide better services to ...


Large scale movement analysis from WiFi based location data

Meneses, Filipe; Moreira, Adriano

Understanding and modeling the way humans move in urban contexts is beneficial for many applications. The recent advances on positioning technologies, namely those based on the ubiquity of wireless networks, is facilitating the observation of people for human motion analysis. In this paper we present the result of a large scale work conducted to study the human mobility in a University’s campuses. The study was...


SPOTSENSING a platform for social web sensing

Correia, Nuno; Meneses, Filipe; José, Rui

Social Networking Sites (SNS) have an unprecedented ability to capture Human activity, including information about the specific physical settings in which those activities are taking place. This represents a major potential for uncovering, on a large scale, new knowledge about aggregate behaviors in the use of places. In this paper, we explore the concept of social web sensor, as a systematic data collection pr...


Time-shifted positioning for location-based logging in mobile devices

Coelho, André; Meneses, Filipe; José, Rui

In this paper, we explore the viability and possible limitations of a time-shifted positioning process for location-based logging in which we want to annotate certain events registered on a mobile phone with location data. Instead of estimating the position when the event occurs, the system stores the radio and Wi-Fi data. At some later stage, this data is passed to a server that transforms it into the respecti...


Synchronized events in mobile systems physically nearby

Marques, Nelson; Meneses, Filipe

The advances and convergence of information technology and communication technologies in mobile devices, enables the creation of ubiquitous applications for these devices. In this paper, we propose a system capable of producing a certain coordinate effect between the mobile devices of the spectators present at an event.


Navigation based on symbolic space models

Baras, Karolina; Moreira, Adriano; Meneses, Filipe

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...


Technology enablers for context-aware healthcare applications

Meneses, Filipe; Moreira, Adriano

The increasing availability of mobile devices and wireless networks, and the tendency for them to become ubiquitous in our dally lives, creates a favourable technological environment for the emergence of new, simple, and added-value applications for healthcare. This chapter focuses on how context and location can be used in innovative applications and how to use a set of solutions and technologies that enable t...


Building a personal symbolic space model from GSM CellID Positioning Data

Meneses, Filipe; Moreira, Adriano

Série : Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol. 7 ; The context in which a person uses a mobile context-aware application can be described by many dimensions, including the, most popular, location and position. Some of the data used to describe these dimensions can be acquired directly from sensors or computed by reasoning algorithms. In...


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    Financiadores do RCAAP

Fundação para a Ciência e a Tecnologia Universidade do Minho   Governo Português Ministério da Educação e Ciência Programa Operacional da Sociedade do Conhecimento União Europeia