Contactless Physiological Data Analysis for User Quality of Life Improving by Using a Humanoid Social Robot - ENSTA Paris - École nationale supérieure de techniques avancées Paris Accéder directement au contenu
Communication Dans Un Congrès Année : 2017

Contactless Physiological Data Analysis for User Quality of Life Improving by Using a Humanoid Social Robot

Résumé

Robots have increasingly been used for improving the quality of life of people with special needs, such as people suffering from Mild Cognitive Impairment, elderly, people with different physical and cognitive abilities. In this paper, we propose a method for extracting and analyzing physiological data by using contactless sensors (i.e., RGB and thermal cameras). The physiological parameters that can be analyzed are: the respiration rate, blinking rate, and the temperature variation across different regions on the face (i.e., the forehead, the nose, the peri-nasal region, the left and right periorbital regions, and the entire face). These parameters, together with the action units (AUs) can be indicators of the current internal state of an user. We analyze data from three different scenarios and report the results obtained.
Fichier principal
Vignette du fichier
ICIAP_AgrigoroaieTapus.pdf (912.86 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01591717 , version 1 (21-09-2017)

Identifiants

  • HAL Id : hal-01591717 , version 1

Citer

Roxana Agrigoroaie, Adriana Tapus. Contactless Physiological Data Analysis for User Quality of Life Improving by Using a Humanoid Social Robot. International Conference on Image Analysis and Processing, Sep 2017, Catania, Italy. ⟨hal-01591717⟩
35 Consultations
240 Téléchargements

Partager

Gmail Facebook X LinkedIn More