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A COTS (UHF) RFID Floor for Device-Free Ambient Assisted Living Monitoring

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Ambient Intelligence – Software and Applications (ISAmI 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1239))

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Abstract

The complexity and the intrusiveness of current proposals for AAL monitoring negatively impact end-user acceptability, and ultimately still hinder widespread adoption by key stakeholders (e.g. public and private sector care providers) who seek to balance system usefulness with upfront installation and long-term configuration and maintenance costs. We present the results of our experiments with a device-free wireless sensing (DFWS) approach utilising commercial off-the-shelf (COTS) Ultra High Frequency (UHF) Radio Frequency Identification (RFID) equipment. Our system is based on antennas above the ceiling and a dense deployment of passive RFID tags under the floor. We provide baseline performance of state of the art machine learning techniques applied to a region-level localisation task. We describe the dataset, which we collected in a realistic testbed, and which we share with the community. Contrary to past work with similar systems, our dataset was collected in a realistic domestic environment over a number of days. The data highlights the potential but also the problems that need to be solved before RFID DFWS approaches can be used for long-term AAL monitoring.

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Notes

  1. 1.

    http://ralt.hw.ac.uk/.

  2. 2.

    https://github.com/care-group/RFID-Datasets.

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Acknowledgements

This work was supported by the Engineering and Physical Sciences Research Council (grant EP/L016834/1), the Carnegie Research Incentive Grant (RIG008216), and by METRICS (H2020-ICT-2019-2-#871252).

Author information

Authors and Affiliations

  1. Edinburgh Centre for Robotics, Edinburgh, UK

    Ronnie Smith & Mauro Dragone

  2. Institute of Sensors, Signals and Systems, Heriot-Watt University, Edinburgh, UK

    Ronnie Smith, Yuan Ding, George Goussetis & Mauro Dragone

Authors
  1. Ronnie Smith
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  2. Yuan Ding
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  3. George Goussetis
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  4. Mauro Dragone
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Corresponding author

Correspondence to Ronnie Smith .

Editor information

Editors and Affiliations

  1. Departamento de Informática, University of Minho, ALGORITMI Center, Braga, Portugal

    Paulo Novais

  2. DIBRIS, University of Genoa, Genoa, Italy

    Gianni Vercelli

  3. Data Management Group, Technical University of Catalonia, Barcelona, Barcelona, Spain

    Josep L. Larriba-Pey

  4. Department Computer Science and Artificial Intelligence, ETS de Ingenierias Informática y de Telecomunicación, University of Granada, Granada, Spain

    Francisco Herrera

  5. BISITE Research Group, University of Salamanca, Salamanca, Salamanca, Spain

    Pablo Chamoso

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Smith, R., Ding, Y., Goussetis, G., Dragone, M. (2021). A COTS (UHF) RFID Floor for Device-Free Ambient Assisted Living Monitoring. In: Novais, P., Vercelli, G., Larriba-Pey, J.L., Herrera, F., Chamoso, P. (eds) Ambient Intelligence – Software and Applications . ISAmI 2020. Advances in Intelligent Systems and Computing, vol 1239. Springer, Cham. https://doi.org/10.1007/978-3-030-58356-9_13

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