Consiglio Nazionale delle Ricerche

Tipo di prodottoContributo in atti di convegno
TitoloA decision support system for real-time stress detection during virtual reality exposure.
Anno di pubblicazione2014
Formato-
Autore/iGaggioli, Andrea; Cipresso, Pietro; Serino, Silvia; Pioggia, Giovanni; Tartarisco, Gennaro; Baldus, Giovanni; Corda, Daniele; Ferro, Marcello; Carbonaro, Nicola; Tognetti, Alessandro; De Rossi, Danilo; Giakoumis, Dimitris; Tzovaras, Dimitrios; Riera, Alejandro; Riva, Giuseppe
Affiliazioni autoriATN-P Lab., Istituto Auxologico Italiano, Milan, Italy; ATN-P Lab., Istituto Auxologico Italiano, Milan, Italy; ATN-P Lab., Istituto Auxologico Italiano, Milan, Italy; IFC-CNR, Pisa; IFC-CNR, Pisa; IFC-CNR, Pisa; IFC-CNR, Pisa; ILC-CNR, Pisa; Research Center E.Piaggio, University of Pisa, Italy; Research Center E.Piaggio, University of Pisa, Italy; Research Center E.Piaggio, University of Pisa, Italy; Informatics and Telematics Institute, Centre for Research and Technology Hellas (CERTH-ITI), Thermi, Thessaloniki, Greece; Informatics and Telematics Institute, Centre for Research and Technology Hellas (CERTH-ITI), Thermi, Thessaloniki, Greece; Starlab Barcelona SL, Barcelona, Spain; ATN-P Lab., Istituto Auxologico Italiano, Milan, Italy
Autori CNR e affiliazioni
  • GENNARO TARTARISCO
  • GIOVANNI PIOGGIA
  • MARCELLO FERRO
Lingua/e
  • inglese
AbstractVirtual Reality (VR) is increasingly being used in combination with psycho-physiological measures to improve assessment of distress in mental health research and therapy. However, the analysis and interpretation of multiple physiological measures is time consuming and requires specific skills, which are not available to most clinicians. To address this issue, we designed and developed a Decision Support System (DSS) for automatic classification of stress levels during exposure to VR environments. The DSS integrates different biosensor data (ECG, breathing rate, EEG) and behavioral data (body gestures correlated with stress), following a training process in which self-rated and clinical-rated stress levels are used as ground truth. Detected stress events for each VR session are reported to the therapist as an aggregated value (ranging from 0 to 1) and graphically displayed on a diagram accessible by the therapist through a web-based interface.
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da114
Pagine a120
Pagine totali-
RivistaStudies in health technology and informatics (Print)
Attiva dal 1991
Editore: IOS Press - Tokyo ;
Paese di pubblicazione: Paesi Bassi
Lingua: inglese
ISSN: 0926-9630
Titolo chiave: Studies in health technology and informatics (Print)
Titolo proprio: Studies in health technology and informatics. (Print)
Titolo abbreviato: Stud. health technol. inform. (Print)
Numero volume della rivista196
Serie/Collana-
Titolo del volumeMedicine Meets Virtual Reality
Numero volume della serie/collana196
Curatore/i del volumeJ.D. Westwood
ISBN-
DOI10.3233/978-1-61499-375-9-114
Editore-
Verificato da refereeSì: Internazionale
Stato della pubblicazione-
Indicizzazione (in banche dati controllate)
  • ISI Web of Science (WOS) (Codice:24732491)
Parole chiavePsychological Stress, Psychophysiology, Virtual Reality, Decision Support System, Biosensors.
Link (URL, URI)-
Titolo convegno/congressoMedicine Meets Virtual Reality (MMVR21)
Luogo convegno/congresso-
Data/e convegno/congresso-
RilevanzaInternazionale
RelazioneContributo
Titolo parallelo-
Note/Altre informazioni-
Strutture CNR
  • IFC — Istituto di fisiologia clinica
  • ILC — Istituto di linguistica computazionale "Antonio Zampolli"
Moduli CNR
    Progetti Europei-
    Allegati
    • A decision support system for real-time stress detection during virtual reality exposure