Heading judgement for indoor position based on the gait pattern

Lulu Yuan, Weiwei Tang, Tian Tan, Lingxiang Zheng, Biyu Tang, Haibin Shi, Hai Lu, Ao Peng, Huiru Zheng

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

    Abstract

    In the inertial sensing unit based indoor positioning systems, the gyroscope drift is the primary source of heading error. To reduce this error, we proposed that the heading drift and the real heading change can be distinguished by the similarity of the gait pattern in the same movement model. It use the curve fitting method to find out the gait pattern in walking straightly. The Frechet distance is used to discriminate the gait of walking in turn and walking straightly. Experiments show that this method can recognize the walking in turn successfully with no mistake and the rate of mismatch walking in straight to walking in turn is less than 17.39%. Although there are some mistakes of match the walking in straight to walking in turn model, it will have few impact because heading drift is little in a short time. The result of test two shows that it get the best result compared with the other two methods when doing heading correction. It indicates that the proposal can promote the performance of heading correction and reduce the effect of sensor drift.

    LanguageEnglish
    Title of host publicationFrontier Computing - Theory, Technologies and Applications FC 2017
    Pages194-199
    Number of pages6
    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

    Gyroscopes
    Curve fitting
    Sensors
    Experiments
    Indoor positioning systems

    Keywords

    • Curve fitting
    • Frechet distance
    • Heading estimation

    Cite this

    Yuan, L., Tang, W., Tan, T., Zheng, L., Tang, B., Shi, H., ... Zheng, H. (2018). Heading judgement for indoor position based on the gait pattern. In Frontier Computing - Theory, Technologies and Applications FC 2017 (Vol. 464, pp. 194-199). (Lecture Notes in Electrical Engineering; Vol. 464). https://doi.org/10.1007/978-981-10-7398-4_21
    Yuan, Lulu ; Tang, Weiwei ; Tan, Tian ; Zheng, Lingxiang ; Tang, Biyu ; Shi, Haibin ; Lu, Hai ; Peng, Ao ; Zheng, Huiru. / Heading judgement for indoor position based on the gait pattern. Frontier Computing - Theory, Technologies and Applications FC 2017. Vol. 464 2018. pp. 194-199 (Lecture Notes in Electrical Engineering).
    @inproceedings{27451cf5d1374aae8a1a91c56412cddc,
    title = "Heading judgement for indoor position based on the gait pattern",
    abstract = "In the inertial sensing unit based indoor positioning systems, the gyroscope drift is the primary source of heading error. To reduce this error, we proposed that the heading drift and the real heading change can be distinguished by the similarity of the gait pattern in the same movement model. It use the curve fitting method to find out the gait pattern in walking straightly. The Frechet distance is used to discriminate the gait of walking in turn and walking straightly. Experiments show that this method can recognize the walking in turn successfully with no mistake and the rate of mismatch walking in straight to walking in turn is less than 17.39{\%}. Although there are some mistakes of match the walking in straight to walking in turn model, it will have few impact because heading drift is little in a short time. The result of test two shows that it get the best result compared with the other two methods when doing heading correction. It indicates that the proposal can promote the performance of heading correction and reduce the effect of sensor drift.",
    keywords = "Curve fitting, Frechet distance, Heading estimation",
    author = "Lulu Yuan and Weiwei Tang and Tian Tan and Lingxiang Zheng and Biyu Tang and Haibin Shi and Hai Lu and Ao Peng and Huiru Zheng",
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    Yuan, L, Tang, W, Tan, T, Zheng, L, Tang, B, Shi, H, Lu, H, Peng, A & Zheng, H 2018, Heading judgement for indoor position based on the gait pattern. in Frontier Computing - Theory, Technologies and Applications FC 2017. vol. 464, Lecture Notes in Electrical Engineering, vol. 464, pp. 194-199, 6th International Conference on Frontier Computing, FC 2017, Osaka, Japan, 12/07/17. https://doi.org/10.1007/978-981-10-7398-4_21

    Heading judgement for indoor position based on the gait pattern. / Yuan, Lulu; Tang, Weiwei; Tan, Tian; Zheng, Lingxiang; Tang, Biyu; Shi, Haibin; Lu, Hai; Peng, Ao; Zheng, Huiru.

    Frontier Computing - Theory, Technologies and Applications FC 2017. Vol. 464 2018. p. 194-199 (Lecture Notes in Electrical Engineering; Vol. 464).

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

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    AU - Tang, Weiwei

    AU - Tan, Tian

    AU - Zheng, Lingxiang

    AU - Tang, Biyu

    AU - Shi, Haibin

    AU - Lu, Hai

    AU - Peng, Ao

    AU - Zheng, Huiru

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    N2 - In the inertial sensing unit based indoor positioning systems, the gyroscope drift is the primary source of heading error. To reduce this error, we proposed that the heading drift and the real heading change can be distinguished by the similarity of the gait pattern in the same movement model. It use the curve fitting method to find out the gait pattern in walking straightly. The Frechet distance is used to discriminate the gait of walking in turn and walking straightly. Experiments show that this method can recognize the walking in turn successfully with no mistake and the rate of mismatch walking in straight to walking in turn is less than 17.39%. Although there are some mistakes of match the walking in straight to walking in turn model, it will have few impact because heading drift is little in a short time. The result of test two shows that it get the best result compared with the other two methods when doing heading correction. It indicates that the proposal can promote the performance of heading correction and reduce the effect of sensor drift.

    AB - In the inertial sensing unit based indoor positioning systems, the gyroscope drift is the primary source of heading error. To reduce this error, we proposed that the heading drift and the real heading change can be distinguished by the similarity of the gait pattern in the same movement model. It use the curve fitting method to find out the gait pattern in walking straightly. The Frechet distance is used to discriminate the gait of walking in turn and walking straightly. Experiments show that this method can recognize the walking in turn successfully with no mistake and the rate of mismatch walking in straight to walking in turn is less than 17.39%. Although there are some mistakes of match the walking in straight to walking in turn model, it will have few impact because heading drift is little in a short time. The result of test two shows that it get the best result compared with the other two methods when doing heading correction. It indicates that the proposal can promote the performance of heading correction and reduce the effect of sensor drift.

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    Yuan L, Tang W, Tan T, Zheng L, Tang B, Shi H et al. Heading judgement for indoor position based on the gait pattern. In Frontier Computing - Theory, Technologies and Applications FC 2017. Vol. 464. 2018. p. 194-199. (Lecture Notes in Electrical Engineering). https://doi.org/10.1007/978-981-10-7398-4_21