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AudioIO: Indoor Outdoor Detection on Smartphones via Active Sound Probing

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3rd EAI International Conference on IoT in Urban Space (Urb-IoT 2018)

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Abstract

The contextual status of mobile devices is fundamental information for many smart city applications. In this paper we present AudioIO, an active sound probing based method to tackle the problem of Indoor Outdoor (IO) detection for smartphones. We utilize the embedded speaker and microphone to emit probing signal and collect reverberation of surrounding environments. A SVM classifier is trained on the features extracted from the reverberation. We test its performance in various scenarios with different probing signals (MLS and chirp), noise levels, and device types. AudioIO achieves above 90% accuracy for both MLS and chirp signals with any tested noise levels and device types.

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Authors and Affiliations

  1. Karlsruhe Institute of Technology, TECO, Karlsruhe, Germany

    Long Wang, Josef Roth, Till Riedel & Michael Beigl

  2. Institute of System Engineering, Beijing, China

    Junnan Yao

Authors
  1. Long Wang
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  2. Josef Roth
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  3. Till Riedel
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  4. Michael Beigl
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  5. Junnan Yao
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Corresponding author

Correspondence to Long Wang .

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Editors and Affiliations

  1. Algoritmi Research Centre, University of Minho, Braga, Portugal

    Rui José

  2. Siegen, Nordrhein-Westfalen, Germany

    Kristof Van Laerhoven

  3. Braga, Portugal

    Helena Rodrigues

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Wang, L., Roth, J., Riedel, T., Beigl, M., Yao, J. (2020). AudioIO: Indoor Outdoor Detection on Smartphones via Active Sound Probing. In: José, R., Van Laerhoven, K., Rodrigues, H. (eds) 3rd EAI International Conference on IoT in Urban Space. Urb-IoT 2018. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-28925-6_8

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  • DOI: https://doi.org/10.1007/978-3-030-28925-6_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-28924-9

  • Online ISBN: 978-3-030-28925-6

  • eBook Packages: EngineeringEngineering (R0)

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