Person localization using sensor information fusion

Nowadays the incredible grow of mobile devices market led to the need for location-aware applications. However, sometimes person location is di cult to obtain, since most of these devices only have a GPS (Global Positioning System) chip to retrieve location. In order to sup- press this limitation an...

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Detalhes bibliográficos
Autor principal: Anacleto, Ricardo (author)
Outros Autores: Figueiredo, Lino (author), Almeida, Ana (author), Novais, Paulo (author)
Formato: conferencePaper
Idioma:eng
Publicado em: 2014
Assuntos:
Texto completo:http://hdl.handle.net/1822/34208
País:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/34208
Descrição
Resumo:Nowadays the incredible grow of mobile devices market led to the need for location-aware applications. However, sometimes person location is di cult to obtain, since most of these devices only have a GPS (Global Positioning System) chip to retrieve location. In order to sup- press this limitation and to provide location everywhere (even where a structured environment doesn't exist) a wearable inertial navigation sys- tem 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.