Robust Stride Detector from Ankle-Mounted Inertial Sensors for Pedestrian Navigation and Activity Recognition with Machine Learning Approaches

In this paper, a stride detector algorithm combined with a technique inspired by zero velocity update (ZUPT) is proposed to reconstruct the trajectory of a pedestrian from an ankle-mounted inertial device. This innovative approach is based on sensor alignment and machine learning. It is able to dete...

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Detalles Bibliográficos
Autores principales: Beaufils, Bertrand, Chazal, Frédéric, Grelet, Marc, Michel, Bertrand
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6833053/
https://www.ncbi.nlm.nih.gov/pubmed/31623248
http://dx.doi.org/10.3390/s19204491

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6833053/
https://www.ncbi.nlm.nih.gov/pubmed/31623248
http://dx.doi.org/10.3390/s19204491

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