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Mirror Mirror on the Wall ... An Unobtrusive Intelligent Multisensory Mirror for Well-Being Status Self-Assessment and Visualization

Academic Article
Publication Date:
2017
abstract:
A person's well-being status is reflected by their face through a combination of facial expressions and physical signs. The SEMEOTICONS project translates the semeiotic code of the human face into measurements and computational descriptors that are automatically extracted from images, videos, and three-dimensional scans of the face. SEMEOTICONS developed a multisensory platform in the form of a smart mirror to identify signs related to cardio-metabolic risk. The aim was to enable users to self-monitor their well-being status over time and guide them to improve their lifestyle. Significant scientific and technological challenges have been addressed to build the multisensory mirror, from touchless data acquisition, to real-time processing and integration of multimodal data.
Iris type:
01.01 Articolo in rivista
Keywords:
Cardio-metabolic risk; unobtrusive well-being monitoring; multimodal data integration; 3D face detection and tracking; 3D morphometric analysis; psychosomatic status recognition; multispectral imaging; breath analysis
List of contributors:
Colantonio, Sara; Germanese, Danila; Martinelli, Massimo; Favilla, Riccardo; Giorgi, Daniela; D'Acunto, Mario; Righi, Marco; Bastiani, Luca; Pascali, MARIA ANTONIETTA; Salvetti, Ovidio; Coppini, Giuseppe; Marraccini, Paolo; Morales, MARIA AURORA
Authors of the University:
BASTIANI LUCA
COLANTONIO SARA
D'ACUNTO MARIO
FAVILLA RICCARDO
GERMANESE DANILA
GIORGI DANIELA
MARTINELLI MASSIMO
PASCALI MARIA ANTONIETTA
RIGHI MARCO
Handle:
https://iris.cnr.it/handle/20.500.14243/341044
Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/341044/106154/prod_376949-doc_157684.pdf
Published in:
IEEE TRANSACTIONS ON MULTIMEDIA
Journal
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URL

http://dx.doi.org/10.1109/TMM.2017.2666545
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