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.

Mirror mirror on the wall... an unobtrusive intelligent multisensory mirror for well-being status self-assessment and visualisation

Luca Bastiani;Sara Colantonio;Giuseppe Coppini;Mario D’Acunto;Riccardo Favilla;Danila Germanese;Daniela Giorgi;Paolo Marraccini;Massimo Martinelli;Maria-Aurora Morales;Maria Antonietta Pascali;Marco Righi;Ovidio Salvetti;
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.
2017
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
unobtrusive well-being monitoring, multimodal data integration, 3D face detection and tracking, 3D morphometric analysis, psychosomatic status recognition, multispectral imaging, breath analysis.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/591102
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