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

Autor: Bertrand Beaufils, Frédéric Chazal, Marc Grelet, Bertrand Michel

Publikováno v: Sensors, Vol 19, Iss 20, p 4491 (2019)

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

Externí odkaz: https://doaj.org/article/01a19c8c3f7d40808383192afe6f3cbd

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

Autor: Beaufils B; Sysnav, 57 Rue de Montigny, 27200 Vernon, France. bertrand.beaufils@sysnav.fr.; Inria Saclay, team DataShape, 1 Rue Honoré d'Estienne d'Orves, 91120 Palaiseau, France. bertrand.beaufils@sysnav.fr., Chazal F; Inria Saclay, team DataShape, 1 Rue Honoré d'Estienne d'Orves, 91120 Palaiseau, France. frederic.chazal@inria.fr., Grelet M; Sysnav, 57 Rue de Montigny, 27200 Vernon, France. marc.grelet@sysnav.fr., Michel B; Inria Saclay, team DataShape, 1 Rue Honoré d'Estienne d'Orves, 91120 Palaiseau, France. bertrand.michel@ec-nantes.fr.; Centrale Nantes, Informatic and Mathematics Department, 1 Rue de La Noe, 44300 Nantes, France. bertrand.michel@ec-nantes.fr.

Publikováno v: Sensors (Basel, Switzerland) [Sensors (Basel)] 2019 Oct 16; Vol. 19 (20). Date of Electronic Publication: 2019 Oct 16.