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Subway Stop/Departure Detection using a Magnetic Sensor of the Smartphone

Published: 27 August 2018 Publication History
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  • Abstract

    Wi-Fi-based indoor positioning has an advantage that it can be utilized without additional equipment, unlike other methods requiring additional infrastructure. Especially, Wi-Fi fingerprint-based positioning methods using signal specificity are used in various indoor location services because they provide a relatively high indoor location recognition accuracy. Although Wi-Fi-based indoor positioning is superior to other technologies in terms of ease of implementation and positioning accuracy, stable positioning is not guaranteed due to unstable Wi-Fi signal characteristics in the various real environment. Recently, as a part of efforts to supplement the Wi-Fi-based positioning system, researches on positioning method using a geomagnetic field are being spotlighted. This can be considered as a sign that users who demand location-based service has increased. Positioning method using a geomagnetic field can be applied to various areas. Geomagnetic field-based positioning can provide more convenient service to users through fusion with facilities, for instance, public transportation which is closely related to users' real life. In the case of a subway, if an accurate train time schedule is provided, many users will get better services. In this study, we developed a systematic and an efficient geomagnetic based positioning method. This method provides stop and running conditions of trains for setting up more accurate and reliable system. Through this system, we tried to offer more stable indoor positioning service and to make the location-based services widespread.

    References

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    Han, D., Jung, S., Lee, M., Yoon, G. 2014. Building a Practical Wi-Fi-Based Indoor Navigation System. IEEE Pervasive Computing, Volume 13, Issue 2 (May. 2014), 72--79.
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    Jung, S., Lee, G. and Han, D. 2017. Methods and Tools to Construct a Global Indoor Positioning System. IEEE Transactions on Systems, Man, and Cybernetics: Systems, Volume 48, Issue 6 (Jan. 2017), 906--919.
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    Kawaguchi, N., Yano, M., Ishida, S., Sasaki, T., Iwasaki, Y., Suhiki, K. and Matsubara, S. 2009. Underground Positioning: Subway Information System Using WiFi Location Technology. In 2009 Tenth International Conference on Mobile Data Management: Systems, Services and Middleware (Taipei, Taiwan, May 18-20, 2009).
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    Lim, J., Jang, W., Yoon, G. and Han, D. 2013. Radio Map Update Automation for WiFi Positioning Systems. IEEE Communications Letters, Volume 17, Issue 4 (Apr. 2013), 693--696.
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    Su, S., Li, X., Tang, T. and Gao, Z. 2013. A Subway Train Timetable Optimization Approach Based on Energy-Efficient Operation Strategy. IEEE Transactions on Intelligent Transportation Systems, Volume 14, Issue 2 (Mar. 2013), 883--893.
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    Cited By

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    • (2024)Sensor-based authentication in smartphone: A systematic reviewJournal of Engineering Research10.1016/j.jer.2024.02.003Online publication date: Feb-2024
    • (2023)Inferring Station Numbers in Metro Trips Using Mobile Magnetometer Sensor via an Unsupervised K-means Clustering Algorithm2023 8th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)10.1109/MT-ITS56129.2023.10241558(1-6)Online publication date: 14-Jun-2023
    • (2019)A Smartphone Application that Automatically Provides Arrival Time based on Estimation of Train on Board2019 Twelfth International Conference on Mobile Computing and Ubiquitous Network (ICMU)10.23919/ICMU48249.2019.9006636(1-4)Online publication date: Nov-2019
    • Show More Cited By

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    1. Subway Stop/Departure Detection using a Magnetic Sensor of the Smartphone

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      Published In

      cover image ACM Other conferences
      ICVISP 2018: Proceedings of the 2nd International Conference on Vision, Image and Signal Processing
      August 2018
      402 pages
      ISBN:9781450365291
      DOI:10.1145/3271553
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 27 August 2018

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      Author Tags

      1. Magnetometer
      2. Sensing Data
      3. Subway Timetable

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      • Research-article
      • Research
      • Refereed limited

      Funding Sources

      • This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIP)

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      ICVISP 2018

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      Overall Acceptance Rate 186 of 424 submissions, 44%

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      Cited By

      View all
      • (2024)Sensor-based authentication in smartphone: A systematic reviewJournal of Engineering Research10.1016/j.jer.2024.02.003Online publication date: Feb-2024
      • (2023)Inferring Station Numbers in Metro Trips Using Mobile Magnetometer Sensor via an Unsupervised K-means Clustering Algorithm2023 8th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)10.1109/MT-ITS56129.2023.10241558(1-6)Online publication date: 14-Jun-2023
      • (2019)A Smartphone Application that Automatically Provides Arrival Time based on Estimation of Train on Board2019 Twelfth International Conference on Mobile Computing and Ubiquitous Network (ICMU)10.23919/ICMU48249.2019.9006636(1-4)Online publication date: Nov-2019
      • (2019)Detecting Arrivals and Departure of Subway Train Using Linear Accelerometer (poster)Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services10.1145/3307334.3328635(580-581)Online publication date: 12-Jun-2019
      • (2019)Power Consumption Analysis, Measurement, Management, and Issues: A State-of-the-Art Review of Smartphone Battery and Energy UsageIEEE Access10.1109/ACCESS.2019.29586847(182113-182172)Online publication date: 2019

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