Short-Term Anxiety Recognition Induced by Virtual Reality Exposure for Phobic People

Author

Handouzi, Wahida ; Maaoui, Choubeila ; Pruski, Alain ; Moussaoui, Abdelouahab ; Bendiouis, Yamina

Author_Institution

Lab. de Conception, Optimisation et Modelisation des Syst. (LCOMS), Univ. of Lorraine, Metz, France

fYear

2013

fDate

13-16 Oct. 2013

Firstpage

3145

Lastpage

3150

Abstract

In this paper, we focus our attention on the development of a virtual reality exposure system (VRE) to induce anxiety to phobic people and on a strategy for recognizing it. We describe a short term anxiety detection from blood volume pulse (BVP) measurement, we detail data collection, feature extraction and classification. We propose a model of anxiety detection using support vector machines (SVM) and evaluate it on the collected data. Results show that our model detects anxiety with a good accuracy. This study aims to support the psychologist in social anxiety diagnosis.

Keywords

feature extraction; support vector machines; virtual reality; BVP measurement; SVM; VRE; blood volume pulse; data collection; feature extraction; phobic people; psychologist; short term anxiety detection; short term anxiety recognition; social anxiety diagnosis; support vector machines; virtual reality exposure system; Blood; Feature extraction; Medical treatment; Principal component analysis; Support vector machines; Virtual environments; Cognitive-Behavioral Therapy (CBT); Linear Discriminant Analysis (LDA); Principal Component Analysis (PCA); Social anxiety; blood volume pulse signal; support vector machine (SVM); virtual reality exposure (VRE);

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on

Conference_Location

Manchester

Type

conf

DOI

10.1109/SMC.2013.536

Filename

6722289