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Istituto di linguistica computazionale "Antonio Zampolli"

Torna all'elenco Contributi in atti di convegno anno 2014

Contributo in atti di convegno

Tipo: Contributo in atti di convegno

Titolo: A decision support system for real-time stress detection during virtual reality exposure.

Anno di pubblicazione: 2014

Autori: Gaggioli, 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 autori: ATN-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:

  • MARCELLO FERRO
  • GIOVANNI PIOGGIA
  • GENNARO TARTARISCO

Lingua: inglese

Abstract: Virtual 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 abstract: inglese

Pagine da: 114

Pagine a: 120

Rivista:

Studies in health technology and informatics IOS Press
Paese di pubblicazione: Paesi Bassi
Lingua: inglese
ISSN: 0926-9630

Numero volume: 196

Titolo del volume: Medicine Meets Virtual Reality

N. volume della serie/collana: 196

Curatore/i del volume: J.D. Westwood

DOI: 10.3233/978-1-61499-375-9-114

Referee: Sė: Internazionale

Indicizzato da: ISI Web of Science (WOS) [24732491]

Parole chiave:

  • Psychological Stress
  • Psychophysiology
  • Virtual Reality
  • Decision Support System
  • Biosensors.

Congresso nome: Medicine Meets Virtual Reality (MMVR21)

Congresso rilevanza: Internazionale

Congresso relazione: Contributo

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