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 contributionpeer-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 languageEnglish
    Title of host publicationFrontier Computing - Theory, Technologies and Applications FC 2017
    PublisherSpringer
    Pages162-168
    Number of pages7
    Volume464
    ISBN (Print)9789811073977
    DOIs
    Publication statusPublished (in print/issue) - 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
    Country/TerritoryJapan
    CityOsaka
    Period12/07/1714/07/17

    Keywords

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

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