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
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