Mirror mirror on the wall… An intelligent multisensory mirror for well-being self-assessment

Author

Andreu-Cabedo, Yasmina ; Castellano, Pedro ; Colantonio, Sara ; Coppini, Giuseppe ; Favilla, Riccardo ; Germanese, Danila ; Giannakakis, Giorgos ; Giorgi, Daniela ; Larsson, Marcus ; Marraccini, Paolo ; Martinelli, Massimo ; Matuszewski, Bogdan ; Milanic,

Author_Institution

Univ. of Central Lancashire, Preston, UK

fYear

2015

fDate

June 29 2015-July 3 2015

Firstpage

1

Lastpage

6

Abstract

The face reveals the healthy status of an individual, through a combination of physical signs and facial expressions. The project SEMEOTICONS is translating the semeiotic code of the human face into computational descriptors and measures, automatically extracted from videos, images, and 3D scans of the face. SEMEOTICONS is developing a multisensory platform, in the form of a smart mirror, looking for signs related to cardio-metabolic risk. The goal is to enable users to self-monitor their well-being status over time and improve their life-style via tailored user guidance. Building the multisensory mirror requires addressing significant scientific and technological challenges, from touch-less data acquisition, to real-time processing and integration of multimodal data.

Keywords

data integration; face recognition; feature extraction; medical computing; mirrors; Semeoticons; cardio-metabolic risk; computational descriptors; facial expression; intelligent multisensory mirror; multimodal data integration; semeiotic code; smart mirror; touch-less data acquisition; user guidance; Biomedical monitoring; Face; Indexes; Mirrors; Monitoring; Skin; Three-dimensional displays; 3D face detection and tracking; 3D morphometric analysis; Cardio-metabolic risk; breath analysis; multimodal data integration; multispectral imaging; psycho-somatic status recognition; unobtrusive health monitoring;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia and Expo (ICME), 2015 IEEE International Conference on

Conference_Location

Turin

Type

conf

DOI

10.1109/ICME.2015.7177468

Filename

7177468