Short-term anxiety recognition from blood volume pulse signal

Author

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

Author_Institution

Lab. de Conception, Univ. of Lorraine, Metz, France

fYear

2014

fDate

11-14 Feb. 2014

Firstpage

1

Lastpage

6

Abstract

In this paper we focus our attention on the development of a virtual reality exposure system to induce anxiety and a strategy for recognizing it. We describe anxiety detection in short term from blood volume pulse measurement; detailing data collection, features extraction and classification. We built a model of anxiety detection using support vector machines and evaluate it on the collected data. Results show that the choice of relevant features allowed good anxiety recognition.

Keywords

electrocardiography; electromyography; feature extraction; medical signal processing; support vector machines; virtual reality; anxiety detection model; anxiety recognition; blood volume pulse signal measurement; data collection; feature classification; feature extraction; support vector machines; virtual reality exposure system; Electromyography; Hafnium compounds; Nervous system; Pulse measurements; Road transportation; Sensors; Stress; Anxiety; Blood volume pulse signal; Cognitive behavioral therapy; Features selection; Support vector machines (SVM); Virtual reality exposure (VRE);

fLanguage

English

Publisher

ieee

Conference_Titel

Multi-Conference on Systems, Signals & Devices (SSD), 2014 11th International

Conference_Location

Barcelona

Type

conf

DOI

10.1109/SSD.2014.6808747

Filename

6808747