DocumentCode :
3863125
Title :
Semeoticons - reading the face code of cardio-metabolic risk
Author :
Sara Colantonio;Danila Germanese;Davide Moroni;Daniela Giorgi;Mariantonietta Pascali;Marco Righi;Giuseppe Coppini;Maria Aurora Morales;Franco Chiarugi;Mattew Pediaditis;Marcus Larsson;Tomas Stromberg;Pedro Henriquez;Bogdan Matuszewski;Matijia Milanic;Lise
Author_Institution :
Institute of Information Science and Technologies, ISTI-CNR, Pisa Italy
fYear :
2015
Firstpage :
1
Lastpage :
5
Abstract :
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.
Keywords :
"Face","Three-dimensional displays","Skin","Mirrors","Indexes","Sensors","Computational modeling"
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Multimedia Understanding (IWCIM), 2015 International Workshop on
Type :
conf
DOI :
10.1109/IWCIM.2015.7347092
Filename :
7347092
Link To Document :
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