Stride detection for pedestrian trajectory reconstruction: a machine learning approach based on geometric patterns

Frédéric Chazal 1 Bertrand Beaufils 2, 1 Marc Grelet 2 Bertrand Michel 3, 1, 4
1 DATASHAPE - Understanding the Shape of Data
CRISAM - Inria Sophia Antipolis - Méditerranée , Inria Saclay - Ile de France
2 SYSNAV
3 ECN - École Centrale de Nantes
4 LMJL - Laboratoire de Mathématiques Jean Leray
Abstract : —In this paper, a strides detection algorithm is proposed using inertial sensors worn on the ankle. This innovative approach based on geometric patterns can detect both normal walking strides and atypical strides such as small steps, side steps and backward walking that existing methods struggle to detect. It is also robust in critical situations, when for example the wearer is sitting and moving the ankle, while most algorithms in the literature would wrongly detect strides.
Type de document :
Communication dans un congrès
IPIN 2017 - 8th International Conference on Indoor Positioning and Indoor Navigation, Sep 2017, Sapporo, Japan. IEEE, Indoor Positioning and Indoor Navigation (IPIN), 2017 International Conference on, pp.1-6, 〈http://www.ipin2017.org/〉. 〈10.1109/IPIN.2017.8115867〉
Liste complète des métadonnées

Littérature citée [21 références]  Voir  Masquer  Télécharger
https://hal.inria.fr/hal-01664659
Contributeur : Frédéric Chazal <>
Soumis le : mardi 19 décembre 2017 - 18:54:17
Dernière modification le : lundi 25 mars 2019 - 16:52:06

Fichier

IPIN_2017_Bertrand_Beaufils_Ve...
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

EC-NANTES | INSMI | UNAM | INRIA | INRIA2017 | UNIV-PARIS-SACLAY | UNIV-NANTES | CHL | UNIV-COTEDAZUR

Citation

Frédéric Chazal, Bertrand Beaufils, Marc Grelet, Bertrand Michel. Stride detection for pedestrian trajectory reconstruction: a machine learning approach based on geometric patterns. IPIN 2017 - 8th International Conference on Indoor Positioning and Indoor Navigation, Sep 2017, Sapporo, Japan. IEEE, Indoor Positioning and Indoor Navigation (IPIN), 2017 International Conference on, pp.1-6, 〈http://www.ipin2017.org/〉. 〈10.1109/IPIN.2017.8115867〉. 〈hal-01664659〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

339

Téléchargements de fichiers

161

Contact


archive-ouverte@inria.fr