A smartphone inertial sensor based recursive zero-velocity detection approach

Yizhen Wang; Xiangyi Meng; Rui Xu; Xuantong Chen; Lingxiang Zheng; Biyu Tang; Ao Peng; Lulu Yuan; Qi Yang; Haibin Shi; Xiaoyang Ruan; Huiru Zheng

doi:10.1007/978-981-10-7398-4_17

A smartphone inertial sensor based recursive zero-velocity detection approach

Yizhen Wang, Xiangyi Meng, Rui Xu, Xuantong Chen, Lingxiang Zheng, Biyu Tang, Ao Peng, Lulu Yuan, Qi Yang, Haibin Shi, Xiaoyang Ruan, Huiru Zheng

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

A reliable and robust zero velocity points (ZVPs) detection approach is important to restrain the accumulative error in the pedestrian inertial navigation systems. A novel recursive zero-velocity detection (RZVD) approach for smartphone based pedestrian dead reckoning systems is proposed in this paper. It combined the adaptive threshold and context information of the vertical velocity to verify the correctness of ZVP detection and fixed the incorrect ZVPs recursively. The test results show that the performance of the proposed approach is better than original method. It indicates that the proposed approach is helpful to eliminate the serious estimation error caused by false detection of ZVPs.

Original language	English
Title of host publication	Frontier Computing - Theory, Technologies and Applications FC 2017
Publisher	Springer
Pages	162-168
Number of pages	7
Volume	464
ISBN (Print)	9789811073977
DOIs	https://doi.org/10.1007/978-981-10-7398-4_17
Publication status	Published (in print/issue) - 19 Apr 2018
Event	6th International Conference on Frontier Computing, FC 2017 - Osaka, Japan Duration: 12 Jul 2017 → 14 Jul 2017

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	464
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	6th International Conference on Frontier Computing, FC 2017
Country/Territory	Japan
City	Osaka
Period	12/07/17 → 14/07/17

Funding

Acknowledgments. This work was supported by the Natural Science Foundation of China (NSFC, No. 61201196).

Keywords

Pedestrian dead reckoning system
Recursive zero-velocity detection
Smartphone
ZUPT

Access to Document

10.1007/978-981-10-7398-4_17

Cite this

Wang, Y., Meng, X., Xu, R., Chen, X., Zheng, L., Tang, B., Peng, A., Yuan, L., Yang, Q., Shi, H., Ruan, X., & Zheng, H. (2018). A smartphone inertial sensor based recursive zero-velocity detection approach. In Frontier Computing - Theory, Technologies and Applications FC 2017 (Vol. 464, pp. 162-168). (Lecture Notes in Electrical Engineering; Vol. 464). Springer. https://doi.org/10.1007/978-981-10-7398-4_17

@inproceedings{c0f9d4b681ea43ed9597eeed920769fd,

title = "A smartphone inertial sensor based recursive zero-velocity detection approach",

abstract = "A reliable and robust zero velocity points (ZVPs) detection approach is important to restrain the accumulative error in the pedestrian inertial navigation systems. A novel recursive zero-velocity detection (RZVD) approach for smartphone based pedestrian dead reckoning systems is proposed in this paper. It combined the adaptive threshold and context information of the vertical velocity to verify the correctness of ZVP detection and fixed the incorrect ZVPs recursively. The test results show that the performance of the proposed approach is better than original method. It indicates that the proposed approach is helpful to eliminate the serious estimation error caused by false detection of ZVPs.",

keywords = "Pedestrian dead reckoning system, Recursive zero-velocity detection, Smartphone, ZUPT",

author = "Yizhen Wang and Xiangyi Meng and Rui Xu and Xuantong Chen and Lingxiang Zheng and Biyu Tang and Ao Peng and Lulu Yuan and Qi Yang and Haibin Shi and Xiaoyang Ruan and Huiru Zheng",

year = "2018",

month = apr,

day = "19",

doi = "10.1007/978-981-10-7398-4\_17",

language = "English",

isbn = "9789811073977",

volume = "464",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer",

pages = "162--168",

booktitle = "Frontier Computing - Theory, Technologies and Applications FC 2017",

address = "Switzerland",

note = "6th International Conference on Frontier Computing, FC 2017 ; Conference date: 12-07-2017 Through 14-07-2017",

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Wang, Y, Meng, X, Xu, R, Chen, X, Zheng, L, Tang, B, Peng, A, Yuan, L, Yang, Q, Shi, H, Ruan, X & Zheng, H 2018, A smartphone inertial sensor based recursive zero-velocity detection approach. in Frontier Computing - Theory, Technologies and Applications FC 2017. vol. 464, Lecture Notes in Electrical Engineering, vol. 464, Springer, pp. 162-168, 6th International Conference on Frontier Computing, FC 2017, Osaka, Japan, 12/07/17. https://doi.org/10.1007/978-981-10-7398-4_17

A smartphone inertial sensor based recursive zero-velocity detection approach. / Wang, Yizhen; Meng, Xiangyi; Xu, Rui et al.
Frontier Computing - Theory, Technologies and Applications FC 2017. Vol. 464 Springer, 2018. p. 162-168 (Lecture Notes in Electrical Engineering; Vol. 464).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Wang, Yizhen

AU - Meng, Xiangyi

AU - Xu, Rui

AU - Chen, Xuantong

AU - Zheng, Lingxiang

AU - Tang, Biyu

AU - Peng, Ao

AU - Yuan, Lulu

AU - Yang, Qi

AU - Shi, Haibin

AU - Ruan, Xiaoyang

AU - Zheng, Huiru

PY - 2018/4/19

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N2 - A reliable and robust zero velocity points (ZVPs) detection approach is important to restrain the accumulative error in the pedestrian inertial navigation systems. A novel recursive zero-velocity detection (RZVD) approach for smartphone based pedestrian dead reckoning systems is proposed in this paper. It combined the adaptive threshold and context information of the vertical velocity to verify the correctness of ZVP detection and fixed the incorrect ZVPs recursively. The test results show that the performance of the proposed approach is better than original method. It indicates that the proposed approach is helpful to eliminate the serious estimation error caused by false detection of ZVPs.

AB - A reliable and robust zero velocity points (ZVPs) detection approach is important to restrain the accumulative error in the pedestrian inertial navigation systems. A novel recursive zero-velocity detection (RZVD) approach for smartphone based pedestrian dead reckoning systems is proposed in this paper. It combined the adaptive threshold and context information of the vertical velocity to verify the correctness of ZVP detection and fixed the incorrect ZVPs recursively. The test results show that the performance of the proposed approach is better than original method. It indicates that the proposed approach is helpful to eliminate the serious estimation error caused by false detection of ZVPs.

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KW - Recursive zero-velocity detection

KW - Smartphone

KW - ZUPT

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A smartphone inertial sensor based recursive zero-velocity detection approach

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