PlumX Metrics
Embed PlumX Metrics

IoT Indoor Localization with AI Technique

2020 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2020 - Proceedings, Page: 654-658
2020
  • 17
    Citations
  • 0
    Usage
  • 33
    Captures
  • 0
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    17
    • Citation Indexes
      17
  • Captures
    33

Conference Paper Description

In this paper, an innovative method for indoor localization based on Bluetooth Low Energy (BLE4) technology has been developed. By employing a mobile beacon, a wearable device and stationary anchors, the conceived tracking system is able to predict people position within buildings. Adopting the received signal strength indicator and a machine learning approach, good accuracy is reached without limiting the freedom and privacy of users.

Bibliographic Details

Matteo D'Aloia; Annalisa Longo; Gianluca Guadagno; Mariano Pulpito; Paolo Fornarelli; Pietro Nicola Laera; Dario Manni; Maria Rizzi

Institute of Electrical and Electronics Engineers (IEEE)

Computer Science; Engineering; Physics and Astronomy

Provide Feedback

Have ideas for a new metric? Would you like to see something else here?Let us know