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 proceedingConference contribution

    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.

    LanguageEnglish
    Title of host publicationFrontier Computing - Theory, Technologies and Applications FC 2017
    Pages162-168
    Number of pages7
    Volume464
    DOIs
    Publication statusPublished - 19 Apr 2018
    Event6th International Conference on Frontier Computing, FC 2017 - Osaka, Japan
    Duration: 12 Jul 201714 Jul 2017

    Publication series

    NameLecture Notes in Electrical Engineering
    Volume464
    ISSN (Print)1876-1100
    ISSN (Electronic)1876-1119

    Conference

    Conference6th International Conference on Frontier Computing, FC 2017
    CountryJapan
    CityOsaka
    Period12/07/1714/07/17

    Fingerprint

    Smartphones
    Sensors
    Inertial navigation systems
    Error analysis

    Keywords

    • Pedestrian dead reckoning system
    • Recursive zero-velocity detection
    • Smartphone
    • ZUPT

    Cite this

    Wang, Y., Meng, X., Xu, R., Chen, X., Zheng, L., Tang, B., ... 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). https://doi.org/10.1007/978-981-10-7398-4_17
    Wang, Yizhen ; Meng, Xiangyi ; Xu, Rui ; Chen, Xuantong ; Zheng, Lingxiang ; Tang, Biyu ; Peng, Ao ; Yuan, Lulu ; Yang, Qi ; Shi, Haibin ; Ruan, Xiaoyang ; Zheng, Huiru. / A smartphone inertial sensor based recursive zero-velocity detection approach. Frontier Computing - Theory, Technologies and Applications FC 2017. Vol. 464 2018. pp. 162-168 (Lecture Notes in Electrical Engineering).
    @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 = "4",
    day = "19",
    doi = "10.1007/978-981-10-7398-4_17",
    language = "English",
    isbn = "9789811073977",
    volume = "464",
    series = "Lecture Notes in Electrical Engineering",
    pages = "162--168",
    booktitle = "Frontier Computing - Theory, Technologies and Applications FC 2017",

    }

    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, 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; Chen, Xuantong; Zheng, Lingxiang; Tang, Biyu; Peng, Ao; Yuan, Lulu; Yang, Qi; Shi, Haibin; Ruan, Xiaoyang; Zheng, Huiru.

    Frontier Computing - Theory, Technologies and Applications FC 2017. Vol. 464 2018. p. 162-168 (Lecture Notes in Electrical Engineering; Vol. 464).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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    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

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