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International Symposium on Distributed Computing and Artificial Intelligence

DCAI 2017: Distributed Computing and Artificial Intelligence, 14th International Conference pp 318–325Cite as

Preliminary study for improving accuracy on Indoor positioning method using compass and walking detect

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 620))

Abstract

Indoor positioning technology is commercially available now, however, the positioning accuracy is not sufficient in the current technologies. Currently available indoor positioning technologies differ in terms of accuracy, costs and effort, but have improved quickly in the last couple of years. It has been actively conducted research for estimating indoor location using RSSI (Received Signal Strength Indicator) level of Wi-Fi access points or BLE (Bluetooth Low Energy) tags. WiFi signal is commonly used for the indoor positioning technology. However, It requires an external power source, more setup costs and expensive. BLE is inexpensive, small, have a long battery life and do not require an external energy source. Therefore, using BLE tags we might be able to make the positioning system practical and inexpensive way. In this paper, we investigate such practical type of indoor positioning method based on BLE. BLE RSSI are processed by Multilayer Perceptron(MLP). Also, compass data and walking speed estimation with an extended Kalman filter is used to improve the accuracy. Our preliminary experimental result shows 2.21m error in case of the MLP output. In preliminary experimental results, the proposed approach improved the accuracy of indoor positioning by 21.2%.

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References

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Author information

Authors and Affiliations

  1. Department of Engineering, Osaka Institute of Technology, 1-45, Chayamachi, Kita-ku Osaka-shi, Osaka, 530-0013, Japan

    Takayasu Kawai, Kenji Matsui & Yukio Honda

  2. BISITE Research Group, University of Salamanca, Edificio I+D+I, 37008, Salamanca, Spain

    Gabriel Villarubia & Juan Manuel Corchado Rodriguez

Authors
  1. Takayasu Kawai
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  2. Kenji Matsui
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  3. Yukio Honda
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  4. Gabriel Villarubia
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  5. Juan Manuel Corchado Rodriguez
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Corresponding author

Correspondence to Takayasu Kawai .

Editor information

Editors and Affiliations

  1. Faculty of Engineering, Department of Electronics, Information and Communication Engineering , Osaka Institute of Technology, Osaka, Osaka, Japan

    Sigeru Omatu

  2. Departamento de Informática y Automática, Facultad de Ciencias, Universidad de Salamanca , Salamanca, Spain

    Sara Rodríguez

  3. Departamento de Informática y Automática, Facultad de Ciencias, Universidad de Salamanca, Salamanca, Spain

    Gabriel Villarrubia

  4. GECAD - Instituto Superior de Engenharia, Porto, Portugal

    Pedro Faria

  5. Department of Control and Management Systems, Kielce University of Technology, Faculty of Electrical Engineering and Computer Science, Kielce, Poland

    Paweł Sitek

  6. Departamento de Informática y Automática, Universidad de Salamanca, Salamanca, Spain

    Javier Prieto

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© 2018 Springer International Publishing AG

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Cite this paper

Kawai, T., Matsui, K., Honda, Y., Villarubia, G., Rodriguez, J.M.C. (2018). Preliminary study for improving accuracy on Indoor positioning method using compass and walking detect. In: Omatu, S., Rodríguez, S., Villarrubia, G., Faria, P., Sitek, P., Prieto, J. (eds) Distributed Computing and Artificial Intelligence, 14th International Conference. DCAI 2017. Advances in Intelligent Systems and Computing, vol 620. Springer, Cham. https://doi.org/10.1007/978-3-319-62410-5_39

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  • DOI: https://doi.org/10.1007/978-3-319-62410-5_39

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-62409-9

  • Online ISBN: 978-3-319-62410-5

  • eBook Packages: EngineeringEngineering (R0)

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