Objective model assessment for short-term anxiety recognition from blood volume pulse signal - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Biomedical Signal Processing and Control Année : 2014

Objective model assessment for short-term anxiety recognition from blood volume pulse signal

Résumé

Human emotional recognition using physiological signals is relatively recent. The interest to this field has been motivated by the robustness of physiological traits to avoid the artifacts created by human social masking. In this paper our attention is focus on two aims: the development of an anxiety recognition system using only one physiological signal ``Blood volume pulse, BVP'' and the creation of a reliable anxiety model using objective assessment. This assessment is done by using dynamics of selected features. The anxiety elicitation is based on exposure to virtual reality (EVR). The results of these investigations show that this assessment technique is effective for the construction of a reliable database and hence improves the recognition system rate.
Fichier non déposé

Dates et versions

hal-01323831 , version 1 (31-05-2016)

Identifiants

Citer

Wahida Handouzi, Choubeila Maaoui, Alain Pruski, Abdelhak Moussaoui. Objective model assessment for short-term anxiety recognition from blood volume pulse signal. Biomedical Signal Processing and Control, 2014, 14, pp.217-227. ⟨10.1016/j.bspc.2014.07.008⟩. ⟨hal-01323831⟩
21 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More