Semeoticons - reading the face code of cardio-metabolic risk

Autor: Marco Righi, Franco Chiarugi, Pedro Henriquez, Lise Lyngsnes Randeberg, Matijia Milanic, Giuseppe Coppini, Mariantonietta Pascali, Maria Aurora Morales, M. Pediaditis, Marcus Larsson, Tomas Strömberg, Davide Moroni, Bogdan J. Matuszewski, Daniela Giorgi, Sara Colantonio, Danila Germanese
Jazyk: angličtina
Rok vydání: 2015
Předmět:
Zdroj: International Workshop on Computational Intelligence for Multimedia Understanding, Prague, Czech Republic, 29-30/10/2015
info:cnr-pdr/source/autori:Colantonio S.; Germanese D.; Moroni D.; Giorgi D.; Pascali M. A.; Righi M.; Coppini G.; Morales M.A.; Chiarugi F.; Pediaditis M.; Larsson M.; Stromberg T.; Henriquez P.; Matuszewski B. J.; Milanic M.; Randeberg L./congresso_nome:International Workshop on Computational Intelligence for Multimedia Understanding/congresso_luogo:Prague, Czech Republic/congresso_data:29-30%2F10%2F2015/anno:2015/pagina_da:/pagina_a:/intervallo_pagine
IWCIM
Popis: 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.
Databáze: OpenAIRE