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Feasibility of RSS Measurements for Smartphone-Based Indoor Acoustic Localization

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Computational Collective Intelligence (ICCCI 2022)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13501))

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Abstract

Mobile smartphones’ potential for usage in innovative localization systems based on audio signal processing is limited due to a lack of technical specifications on audio input sensitivity in the upper limit of the audio range when the embedded microphone is considered as an acoustical sensor. Acoustical intensity may change with distance as well as rotation of the smartphone, however, there is a lack of information on essential characteristics of microphones implemented in smartphones. In this paper, tests are performed to investigate the feasibility of smartphones for acoustic localization. The objective was to evaluate the impact of the movement in a complex room on the RSS (Received Signal Strength) acoustic signal received by the smartphone. Experiments were performed under the worst-case scenario, in which both receiver and transmitter of acoustic signals were represented by smartphones.

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Acknowledgement

This work has been partially supported by the Slovak VEGA grant agency, Project No. 1/0588/22 “Research of a location-aware system for achievement of QoE in 5G and B5G networks”, and Operational Programme Integrated Infrastructure: Independent research and development of technological kits based on wearable electronics products, as tools for raising hygienic standards in a society exposed to the virus causing the COVID-19 disease, ITMS code 313011ASK8, co-funded by the European Regional Development Fund.

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Authors and Affiliations

  1. University of Zilina, Zilina, Slovakia

    Veronika Hromadova, Peter Brida, Roman Jarina & Juraj Machaj

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  1. Veronika Hromadova
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  2. Peter Brida
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  3. Roman Jarina
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  4. Juraj Machaj
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Corresponding author

Correspondence to Peter Brida .

Editor information

Editors and Affiliations

  1. Wrocław University of Science and Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. Open University of Cyprus, Nicosia, Cyprus

    Yannis Manolopoulos

  3. University of Pau and Pays de l'Adour, Anglet, France

    Richard Chbeir

  4. Wrocław University of Science and Technology, Wrocław, Poland

    Adrianna Kozierkiewicz

  5. Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

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Hromadova, V., Brida, P., Jarina, R., Machaj, J. (2022). Feasibility of RSS Measurements for Smartphone-Based Indoor Acoustic Localization. In: Nguyen, N.T., Manolopoulos, Y., Chbeir, R., Kozierkiewicz, A., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2022. Lecture Notes in Computer Science(), vol 13501. Springer, Cham. https://doi.org/10.1007/978-3-031-16014-1_65

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  • DOI: https://doi.org/10.1007/978-3-031-16014-1_65

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-16013-4

  • Online ISBN: 978-3-031-16014-1

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