Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/51539
Título: | Step count and classification using sensor information fusion |
Autor(es): | Anacleto, Ricardo Figueiredo, Lino Almeida, Ana Novais, Paulo Meireles, António |
Palavras-chave: | Pedestrian Inertial Navigation System Step Count Information Fusion Dynamic Time Warping |
Data: | 2015 |
Editora: | Springer |
Revista: | Advances in Intelligent Systems and Computing |
Resumo(s): | In order to suppress the GNSS (Global Navigation Satellite System) limitation to track persons in indoor or in dense environments, a pedestrian inertial navigation system can be used. However, this type of systems have huge location estimation errors due to the Pedestrian Dead Reckoning (PDR) characteristics and the use of low-cost inertial sensors. To suppress some of these errors we propose a system that uses several sensors spread in person's body combined with information fusion techniques. Information fusion techniques provide lighter algorithms implementations, to count and classify the type of step, to run in mobile devices. Thus, improving pedestrian inertial navigation systems accuracy. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/51539 |
ISBN: | 978-3-319-19694-7 |
e-ISBN: | 978-3-319-19695-4 |
DOI: | 10.1007/978-3-319-19695-4_9 |
ISSN: | 2194-5357 |
e-ISSN: | 2194-5365 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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step.count.classification.sensor.information.fusion.pdf | 2,16 MB | Adobe PDF | Ver/Abrir |