Pedestrian Dead Reckoning with Low-Cost Foot-Mounted IMU Sensor.

PDR gait phase estimation kalman filter zero velocity update

Journal

Micromachines
ISSN: 2072-666X
Titre abrégé: Micromachines (Basel)
Pays: Switzerland
ID NLM: 101640903

Informations de publication

Date de publication:
13 Apr 2022
Historique:
received: 12 03 2022
revised: 04 04 2022
accepted: 08 04 2022
entrez: 23 4 2022
pubmed: 24 4 2022
medline: 24 4 2022
Statut: epublish

Résumé

In this paper, we researched Pedestrian Dead Reckoning (PDR) with one foot-mounted IMU sensor. The issues of PDR are magnetism noise and accumulated error due to the noise included in acceleration and gyro data. Two methods are proposed in this paper. First is the gait-phase-estimation method with pitch angle for the Zero Velocity Update algorithm. Second is a method for avoiding accumulated errors by updating the roll and pitch angles with acceleration. The two experiments were conducted to examine the error of gait-phase estimation and distance estimations. The relative error of distance was about 7.40% in the case of walking straight and about 12.27% in the case of a shifting travel direction.

Identifiants

pubmed: 35457914
pii: mi13040610
doi: 10.3390/mi13040610
pmc: PMC9027260
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Japan Society for the Promotion of Science
ID : 18K11400
Organisme : New Energy and Industrial Technology Development Organization
ID : 21502121

Auteurs

Shunsei Yamagishi (S)

Graduate School of Computer and Information Systems, The University of Aizu, Aizuwakamatsu 965-0006, Japan.

Lei Jing (L)

Graduate School of Computer and Information Systems, The University of Aizu, Aizuwakamatsu 965-0006, Japan.

Classifications MeSH