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A Study on Indoor Presence Management System Using Smartphone

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Genetic and Evolutionary Computing (GEC 2015)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 388))

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  • International Conference on Genetic and Evolutionary Computing

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Abstract

The aim of this paper is to perform indoor presence management using smartphone. Our proposed method estimates user position and state by smartphone sensors. The position information is estimated by accelerometer and direction sensor. The state information is estimated using gravitational acceleration can be acquired by accelerometer. By using this system, it can estimate human position within 100 cm errors. In addition, this system can estimate the state of subject in 99.2 % accuracy.

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Author information

Authors and Affiliations

  1. Department of Electrical and Electronic Engineering, University of Miyazaki, Miyazaki, Japan

    Takami Taninoki, Yoshinobu Furukawa & Hiroaki Matsumoto

  2. Department of Environmental Robotics, University of Miyazaki, Miyazaki, Japan

    Hiroki Tamura

  3. Department of Electrical and Systems Engineering, University of Miyazaki, Miyazaki, Japan

    Koichi Tanno

Authors
  1. Takami Taninoki
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  2. Yoshinobu Furukawa
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  3. Hiroaki Matsumoto
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  4. Hiroki Tamura
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  5. Koichi Tanno
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Corresponding author

Correspondence to Takami Taninoki .

Editor information

Editors and Affiliations

  1. Faculty of Engineering, University of Miyazaki, Miyazaki, Japan

    Thi Thi Zin

  2. School of Computer Science and Tech..., Harbin Institute of Technology, Shenzhen Graduate School , Shenzhen, China

    Jerry Chun-Wei Lin

  3. College of Information Science and Engg, Fujian University of Technology, Fuzhou, China

    Jeng-Shyang Pan

  4. Faculty of Engineering, University of Miyazaki, Miyazaki, Japan

    Pyke Tin

  5. Faculty of Engineering, University of Miyazaki, Miyazaki, Japan

    Mitsuhiro Yokota

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© 2016 Springer International Publishing Switzerland

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Cite this paper

Taninoki, T., Furukawa, Y., Matsumoto, H., Tamura, H., Tanno, K. (2016). A Study on Indoor Presence Management System Using Smartphone. In: Zin, T., Lin, JW., Pan, JS., Tin, P., Yokota, M. (eds) Genetic and Evolutionary Computing. GEC 2015. Advances in Intelligent Systems and Computing, vol 388. Springer, Cham. https://doi.org/10.1007/978-3-319-23207-2_32

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  • DOI: https://doi.org/10.1007/978-3-319-23207-2_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23206-5

  • Online ISBN: 978-3-319-23207-2

  • eBook Packages: EngineeringEngineering (R0)

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