WIPS: The WiSARD indoor positioning system

• Type: Article in International Conference Proceedings Book
• Date: 2013

Authors

Cardoso, DO (Author) Other; João Gama (Author) FEP; De Gregorio, M (Author) Other; Franca, FMG (Author) Other; Giordano, M (Author) Other; Lima, PMV (Author) Other

Conference proceedings International

Title: ESANN 2013 proceedings, 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

Pages: 521-526

21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2013

Bruges, 24 April 2013 through 26 April 2013

Indexing

Scopus - 7 Citations

Other information

Authenticus ID: P-008-G6Q

Abstract (EN): In this paper, we present a WiSARD-based system facing the problem of Indoor Positioning (IP) by taking advantage of pervasively available infrastructures (WiFi Access Points -AP). The goal is to develop a system to be used to position users in indoor environments, such as: museums, malls, factories, offshore platforms etc. Based on the fingerprint approach, we show how the proposed weightless neural system provides very good results in terms of performance and positioning resolution. Both the approach to the problem and the system will be presented through two correlated experiments.

Language: English

Type (Professor's evaluation): Scientific