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RFID-Based People Detection for Human-Robot Interaction

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Book cover Robot 2015: Second Iberian Robotics Conference

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 418))

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Abstract

This paper discusses the use of off-the-shelf Radio Frequency Identification (RFID) detection as complementary technology to the localization of people (detection and localization relative to the robot) in social robotics scenarios. A novel model for the detection of passive RFID tags is proposed, involving the estimation in real time of a measure of the probability of the tag being detected. The method estimates the location of the tag relative to the reader with an accuracy suitable for a wide range of human-robot interactions and social robotics applications.

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Author information

Authors and Affiliations

  1. Instituto Superior Técnico, University of Lisbon, Lisbon, Portugal

    Duarte Lopes Gameiro & João Silva Sequeira

Authors
  1. Duarte Lopes Gameiro
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  2. João Silva Sequeira
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Corresponding author

Correspondence to Duarte Lopes Gameiro .

Editor information

Editors and Affiliations

  1. Info Syst Dept;Campus de Azurém, University of Minho, Guimarães, Portugal

    Luís Paulo Reis

  2. Electrical and Computer Engineering Dept, University of Porto, Porto, Portugal

    António Paulo Moreira

  3. Instituto Superior Tecnico - Torre Norte, University of Lisboa, Lisboa, Portugal

    Pedro U. Lima

  4. Engineering Dept., E. Ada Byron, Univ of Zaragoza, Computer & Systems, Zaragoza, Spain

    Luis Montano

  5. Automatic Control and Systems Eng. Dept., University of Malaga, Superior Technical, Málaga, Spain

    Victor Muñoz-Martinez

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© 2016 Springer International Publishing Switzerland

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Gameiro, D.L., Sequeira, J.S. (2016). RFID-Based People Detection for Human-Robot Interaction. In: Reis, L., Moreira, A., Lima, P., Montano, L., Muñoz-Martinez, V. (eds) Robot 2015: Second Iberian Robotics Conference. Advances in Intelligent Systems and Computing, vol 418. Springer, Cham. https://doi.org/10.1007/978-3-319-27149-1_31

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  • DOI: https://doi.org/10.1007/978-3-319-27149-1_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27148-4

  • Online ISBN: 978-3-319-27149-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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