Consiglio Nazionale delle Ricerche

Tipo di prodottoContributo in atti di convegno
TitoloA dynamic Bayesian network approach for device-free radio vision: Modeling, learning and inference for body motion recognition
Anno di pubblicazione2016
Formato
  • Elettronico
  • Cartaceo
Autore/iS. Savazzi, S. Kianoush, V. Rampa
Affiliazioni autoriIEIIT-CNR
Autori CNR e affiliazioni
  • SANAZ KIANOUSH
  • STEFANO SAVAZZI
  • VITTORIO RAMPA
Lingua/e
  • inglese
AbstractIn this paper, a time-varying dynamic Bayesian network model is shown to describe human-induced RF fluctuations for the purpose of non-cooperative and device-free radiobased body motion recognition (radio vision). The technology relies on pre-existing wireless communication network infrastructures and processes channel quality information (CQI) for human-scale sensing. Body movements leave a characteristic footprint on the CQI sequences collected during consecutive radio transmissions over multiple co-located links. Body-induced RF footprints are proved to be effectively characterized by temporarily coupled hidden Markov chains: abrupt changes of body postures make CQIs observed over co-located links temporarily coupled while being uncoupled for slow body movements. Learning and classification/inference problems are discussed based on experimental measurements. Device-free radio vision performances are evaluated for arm gesture and fall detection applications.
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da6265
Pagine a6269
Pagine totali5
Rivista-
Numero volume della rivista-
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ISBN-
DOI10.1109/ICASSP.2016.7472882
Editore
  • IEEE - Institute of Electrical and Electronics Engineers, Piscataway, N.J. (Stati Uniti d'America)
Verificato da refereeSì: Internazionale
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)
  • IEEE Xplore digital library (Codice:7472882)
  • Scopus (Codice:2-s2.0-84973349124)
Parole chiaveDynamic Bayesian networks, activity recognition, device-free radio vision, time-varying HMM
Link (URL, URI)http://ieeexplore.ieee.org/xpl/abstractKeywords.jsp?arnumber=7472882
Titolo convegno/congressoIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016
Luogo convegno/congressoShanghai, China
Data/e convegno/congresso20-25/03/2016
RilevanzaInternazionale
RelazioneContributo
Titolo parallelo-
Note/Altre informazioni-
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'
Progetti Europei-
Allegati
A dynamic Bayesian network approach for device-free radio vision: Modeling, learning and inference for body motion recognition (documento privato )
Descrizione: Published paper
Tipo documento: application/x-pdf