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A Mobile Camera-Based Evaluation Method of Inertial Measurement Units on Smartphones

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Internet of Things. IoT Infrastructures (IoT360 2015)

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Abstract

In order to support navigation, gesture detection, and augmented reality, modern smartphones contain inertial measurement units (IMU) consisting of accelerometers and gyroscopes. Although the accuracy of these sensors directly affects the soundness of mobile applications, no standardized tests exist to verify the correctness of the retrieved sensor data. For this purpose, we present a novel benchmark, which utilizes the camera of the phone as a reference to estimate the quality of its sensor data fusion. Our experiments do not require special equipment and reveal significant discrepancies between different phone models.

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Author information

Authors and Affiliations

  1. University of Rostock, Rostock, Germany

    Lars Middendorf & Christian Haubelt

  2. Bosch Sensortec GmbH, Reutlingen, Germany

    Rainer Dorsch, Rudolf Bichler & Christina Strohrmann

Authors
  1. Lars Middendorf
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  2. Rainer Dorsch
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  3. Rudolf Bichler
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  4. Christina Strohrmann
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  5. Christian Haubelt
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Corresponding author

Correspondence to Lars Middendorf .

Editor information

Editors and Affiliations

  1. IBM Research , Haifa, Israel

    Benny Mandler

  2. CONNECT Centre, Trinity College, University of Dublin, Dublin, Ireland

    Johann Marquez-Barja

  3. GTA/PEE-COPPE/DEL-Poli, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Rio de Janeiro, Brazil

    Miguel Elias Mitre Campista

  4. Faculty of Materials Science and Technology in Trnava, Slovak University of Technology in Bratislava, Trnava, Slovakia

    Dagmar Cagáňová

  5. Institut Télécom SudParis , Evry, France

    Hakima Chaouchi

  6. College of Communication and Information, University of Kentucky, Lexington, Kentucky, USA

    Sherali Zeadally

  7. College of Technological Innovation, Zayed University, Dubai, United Arab Emirates

    Mohamad Badra

  8. University of Pisa, Pisa, Holy See (Vatican City State)

    Stefano Giordano

  9. DICIEAMA Department, University of Messina, Messina, Italy

    Maria Fazio

  10. CREATE-NET , Trento, Italy

    Andrey Somov

  11. University of Trento , Trento, Italy

    Radu-Laurentiu Vieriu

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© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Middendorf, L., Dorsch, R., Bichler, R., Strohrmann, C., Haubelt, C. (2016). A Mobile Camera-Based Evaluation Method of Inertial Measurement Units on Smartphones. In: Mandler, B., et al. Internet of Things. IoT Infrastructures. IoT360 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 170. Springer, Cham. https://doi.org/10.1007/978-3-319-47075-7_41

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  • DOI: https://doi.org/10.1007/978-3-319-47075-7_41

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47074-0

  • Online ISBN: 978-3-319-47075-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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