Consiglio Nazionale delle Ricerche

Tipo di prodottoContributo in atti di convegno
TitoloSensor Free Wireless Activity Recognition for Smart Retail
Anno di pubblicazione2015
FormatoElettronico
Autore/iSanaz Kianoush, Stefano Savazzi, Vittorio Rampa
Affiliazioni autoriCNR-IEIIT
Autori CNR e affiliazioni
  • SANAZ KIANOUSH
  • STEFANO SAVAZZI
  • VITTORIO RAMPA
Lingua/e
  • inglese
AbstractActivity recognition is an important technology that can be applied to many real-life and human-centric problems. Most techniques for activity recogntion propose sensor-based solutions in which the user carries the sensor and participates actively in recognition. In this paper, we propose a realtime and sensor-free algorithm using low-power and low-cost sensors deployed indoors to recognize the consumer's activity in smart retail scenarios. The proposed sensor-free recognition algorithm is based on the real-time analysis of the wireless signal perturbation induced by the consumer movement in the area covered by sensor nodes. We apply Bayesian technique exploiting the signal fluctuation and variation over time. In order to evaluate the performance of the sensor-free algorithm, experimental measurements are conducted inside an indoor spot to identify consumer activity shopping, including walking in a specific section, dwelling for a while, gazing at the specific item and reaching it out. In addition, the proposed sensor-free algorithm is compared with the sensor-based as the consumer carries wearbale sensor. Experimental results confirm that the estimation accuracy of the proposed approach is comparable with the wearable one, particularly for the walking action.
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Titolo convegno/congressoIEEE 12th Workshop on Positioning, Navigation and Communication
Luogo convegno/congressoDresden
Data/e convegno/congressoMarch 2015
RilevanzaInternazionale
RelazioneContributo
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Strutture CNR
  • IEIIT — Istituto di elettronica e di ingegneria dell'informazione e delle telecomunicazioni
Moduli CNR
  • ICT.P07.005.001 : Reti wireless integrate per accesso ad alta velocita'
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Articolo PDF IEEE 12th Workshop on Positioning, Navigation and Communication (documento privato )
Tipo documento: application/pdf