Paper Info
Title
Suppression of performance degradation in traveling direction estimation by using IMU and PCA for PDR.
Abstract
In this paper, we propose a new method to estimate a traveling direction for a pedestrian with a smart phone by using the Inertial Measurement Unit (IMU) and principal component analysis (PCA). Our estimator does not restrict a holding status of the smart phone. It is possible to estimate an attitude of the smart phone based on the IMU filter which makes use of values from sensors embedded in itself. We estimate a traveling direction of the pedestrian based on the PCA by using the output of the filter. However, this method essentially includes an indeterminacy problem which allows a direction reversal because the component of the PCA is non-directed graph. In this paper, we investigate a modified traveling direction estimation method in order to suppress a performance degradation caused by this problem. From experimental results, we show that the proposed estimator outperforms the conventional one.
Year
Venue
Field
2018
IJNC
Computer vision,Graph,Pedestrian,Computer science,Artificial intelligence,Inertial measurement unit,Smart phone,Principal component analysis,Indeterminacy problem,Estimator
DocType
Volume
Issue
Journal
8
2
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Masahiro Fujii11914.62
Yuya Sakuma200.34