PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Chiarugi F., Christinaki E., Giannakakis G., Kazantzaki E., Manousos D., Pediaditis M., Tsiknakis M., Danielis A., Pascali M. A., Giorgi D., Raccichini G. SEMEOTICONS - Algorithms and methods for facial expression analysis and psycho-physical status evaluation - Final release. SEMEiotic Oriented Technology for Individual's CardiOmetabolic risk self-assessmeNt and Self-monitoring. Deliverable D5.3.2, 2016.
 
 
Abstract
(English)
Stress, anxiety and fatigue have impact both on the physical and mental health. Stress and anxiety for example are implicated in the onset or progression of immunological, cardiovascular, circulatory or neurodegenerative diseases. Therefore, they have been included ab initio into the list of factors that need to be assessed for a successful health monitoring in the context of SEMEOTICONS. This deliverable presents the outcome of the work of Tasks 5.3 and 5.4, which includes the research, development and implementation of non-intrusive measurement methods of features describing stress, anxiety and fatigue. These methods take advantage of the information of colour and motion of the human face as captured by a video camera. The extracted features describe eye lid activity and opening, eye gaze and eye bags, dark circles, head motion, mouth activity and yawning, the validity of which has been studied thoroughly.
Subject Face detection
Facial expression
Emotional analysis
I.2.10 ARTIFICIAL INTELLIGENCE. Vision and Scene Understanding
J.3 LIFE AND MEDICAL SCIENCES


Icona documento 1) Download Document PDF


Icona documento Open access Icona documento Restricted Icona documento Private

 


Per ulteriori informazioni, contattare: Librarian http://puma.isti.cnr.it

Valid HTML 4.0 Transitional