Semeoticons - reading the face code of cardio-metabolic risk

• Published in: 2015 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM) pp. 1 - 5
• Main Authors: Colantonio, Sara, Germanese, Danila, Moroni, Davide, Giorgi, Daniela, Pascali, Mariantonietta, Righi, Marco, Coppini, Giuseppe, Morales, Maria Aurora, Chiarugi, Franco, Pediaditis, Mattew, Larsson, Marcus, Stromberg, Tomas, Henriquez, Pedro, Matuszewski, Bogdan, Milanic, Matijia, Randeberg, Lise
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-10-2015
• Subjects: 3D shape analysis; Computational modeling; Face; Face semeiotics; Face tracking; Indexes; Mirrors; Personal Informatics; Quantified Self; Sensors; Skin; Three-dimensional displays
• DOI: 10.1109/IWCIM.2015.7347092

What if you could discover your health status by looking at yourself in the mirror? Since November 2013, the EU FP7 Project SEMEOTICONS is working to make this possible. The Project is building a multi-sensory device, having the form of a conventional mirror, able to read the semeiotic code of the face and detect possible evidence of the onset of cardio-metabolic diseases. The device, called Wize Mirror, integrates unobtrusive imaging sensors used to capture videos, images and 3D scans of the face. These are processed to assess the risk of a cardio-metabolic disease and thereby suggest possible strategies to prevent its onset.