Anacleto, RicardoFigueiredo, LinoAlmeida, AnaNovais, Paulo2015-04-302015-04-302014Anacleto, Ricardo; Figueiredo, Lino; Almeida, Ana; Novais, Paulo. Person Localization Using Sensor Information Fusion, In Ambient Intelligence - Software and Applications, 53-61, ISBN: 978-3-319-07595-2. Cham: Springer International Publishing, 2014.978-3-319-07595-2http://hdl.handle.net/10400.22/5866Nowadays the incredible grow of mobile devices market led to the need for location-aware applications. However, sometimes person location is difficult to obtain, since most of these devices only have a GPS (Global Positioning System) chip to retrieve location. In order to suppress this limitation and to provide location everywhere (even where a structured environment doesn’t exist) a wearable inertial navigation system is proposed, which is a convenient way to track people in situations where other localization systems fail. The system combines pedestrian dead reckoning with GPS, using widely available, low-cost and low-power hardware components. The system innovation is the information fusion and the use of probabilistic methods to learn persons gait behavior to correct, in real-time, the drift errors given by the sensors.engPedestrian Navigation SystemInertial Navigation SystemIndoor LocationGPSProbabilistic Algorithmsconference object2015-01-2810.1007/978-3-319-07596-9_6