PPC PPC

Return to Full Page

Measuring user-object interactions in IoT spaces

  • Authors
  • Parada R, Melià-Seguí J, Carreras A, Morenza-Cinos M, Pous R
  • UPF authors
  • MELIA SEGUI, JOAN ANTONI; POUS ANDRÉS, RAFAEL; MORENZA CINOS, MARC; PARADA MEDINA, RAUL;
  • Authors of the book
  • AA.VV.
  • Book title
  • 2015 IEEE International Conference on RFID Technology and Applications
  • Publisher
  • IEEE
  • Publication year
  • 2016
  • Pages
  • 52-58
  • ISBN
  • 978-147997989-9
  • Abstract
  • apos; interest on products in shelves is a complex task in physical environments. However, these scenarios may benefit from the Internet of Things (IoT) technologies to obtain context-aware information hard to obtain otherwise. For instance, in a real store, users may show their interest in a given product depending on the time interacted with it. We present a system designed to reliably detect user-object interactions in an RFID-enabled context-aware shelf scenario, with the goal to measure user activity based on the weighted Information Gain classifier (wIG), an empirical machine learning technique. The system is configured by means of thresholds determining the classification accuracy, and it is automatically adapted to different scenarios by means of an automated calibration method. Our proposed user-object interaction measurement method achieves performance above 80% in a real environment evaluation, indicating a high reliability. Our proposal could be used to feed user-centric privacy-preserving recommender systems in brick-and-mortar stores, or as aiding tool for visually impaired users.
  • Complete citation
  • Parada R, Melià-Seguí J, Carreras A, Morenza-Cinos M, Pous R. Measuring user-object interactions in IoT spaces. Dins: AA.VV.. 2015 IEEE International Conference on RFID Technology and Applications. 1 ed. IEEE; 2016. p. 52-58.
Bibliometric indicators
  • 5 times cited Scopus
  • Índex Scimago de 0