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Pedestrian Stride Length Estimation from IMU Measurements and ANN Based Algorithm
Joint Authors
Xing, Haifeng
Li, Jinglong
Hou, Bo
Zhang, Yongjian
Guo, Meifeng
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-02-09
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Pedestrian dead reckoning (PDR) can be used for continuous position estimation when satellite or other radio signals are not available, and the accuracy of the stride length measurement is important.
Current stride length estimation algorithms, including linear and nonlinear models, consider a few variable factors, and some rely on high precision and high cost equipment.
This paper puts forward a stride length estimation algorithm based on a back propagation artificial neural network (BP-ANN), using a consumer-grade inertial measurement unit (IMU); it then discusses various factors in the algorithm.
The experimental results indicate that the error of the proposed algorithm in estimating the stride length is approximately 2%, which is smaller than that of the frequency and nonlinear models.
Compared with the latter two models, the proposed algorithm does not need to determine individual parameters in advance if the trained neural net is effective.
It can, thus, be concluded that this algorithm shows superior performance in estimating pedestrian stride length.
American Psychological Association (APA)
Xing, Haifeng& Li, Jinglong& Hou, Bo& Zhang, Yongjian& Guo, Meifeng. 2017. Pedestrian Stride Length Estimation from IMU Measurements and ANN Based Algorithm. Journal of Sensors،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1187134
Modern Language Association (MLA)
Xing, Haifeng…[et al.]. Pedestrian Stride Length Estimation from IMU Measurements and ANN Based Algorithm. Journal of Sensors No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1187134
American Medical Association (AMA)
Xing, Haifeng& Li, Jinglong& Hou, Bo& Zhang, Yongjian& Guo, Meifeng. Pedestrian Stride Length Estimation from IMU Measurements and ANN Based Algorithm. Journal of Sensors. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1187134
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1187134