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Enhancing Indoor Localization Using IoT Techniques

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Book cover Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2017 (AISI 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 639))

Abstract

The connection of physical objects to the Internet makes it feasible to access remote sensor data and to control the physical world remotely. The Internet of Things (IoT) is based on this concept. A smart object, which is the main element of the Internet of Things, is just another name for an embedded system that is connected to the Internet. Locating smart objects in the indoor environment is an imperative task because the GPS signal is easily corrupted. Pedestrian Dead Reckoning (PDR), is a relative positioning approach using step length and heading estimation. A new approach is presented using the quaternion-based extended Kalman filter (EKF) for heading estimation based on inputs from Accelerometer, Gyroscope and Magnetometer sensors found in smart watches. The proposed approach shows an error of 0.07% for the total traveled distance. It is the best accuracy achieved compared with other approaches.

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Author information

Authors and Affiliations

  1. College of Computing and Information Technology, Arab Academy for Science and Technology & Maritime Transport, Cairo, Egypt

    Mohamed Nabil & M. B. Abdelhalim

  2. Faculty of Computer Science, Misr International University, Cairo, Egypt

    Ashraf AbdelRaouf

Authors
  1. Mohamed Nabil
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  2. M. B. Abdelhalim
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  3. Ashraf AbdelRaouf
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Corresponding author

Correspondence to Mohamed Nabil .

Editor information

Editors and Affiliations

  1. Faculty of Computers and Information, Information Technology Department, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. Dubai International Academic City, The British University in Dubai, Dubai, United Arab Emirates

    Khaled Shaalan

  3. Faculty of Computers and Informatics, Suez Canal University, Ismailia, Egypt

    Tarek Gaber

  4. Ain Shams University, Cairo, Egypt

    Mohamed F. Tolba

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Nabil, M., Abdelhalim, M.B., AbdelRaouf, A. (2018). Enhancing Indoor Localization Using IoT Techniques. In: Hassanien, A., Shaalan, K., Gaber, T., Tolba, M. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2017. AISI 2017. Advances in Intelligent Systems and Computing, vol 639. Springer, Cham. https://doi.org/10.1007/978-3-319-64861-3_83

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  • DOI: https://doi.org/10.1007/978-3-319-64861-3_83

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-64860-6

  • Online ISBN: 978-3-319-64861-3

  • eBook Packages: EngineeringEngineering (R0)

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