Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloComputational Assessment of Facial Expression Production in ASD Children
Anno di pubblicazione2018
FormatoElettronico
Autore/iMarco Leo , Pierluigi Carcagnì, Cosimo Distante, Paolo Spagnolo, Pier Luigi Mazzeo, Anna Chiara Rosato, Serena Petrocchi , Chiara Pellegrino , Annalisa Levante, Filomena De Lumè and Flavia Lecciso
Affiliazioni autoriInstitute of Applied Sciences and Intelligent Systems, National Research Council of Italy, via Monteroni, 73100 Lecce, Italy Amici di Nico Onlus, Via Campania, 6, 73046 Lecce, Italy USI, Institute of Communication and Health, Via Buffi 6, 6900 Lugano, Switzerland L' Adelfia Onlus, via S. Sangiovanni, 115-73031 Lecce, Italy Dipartimento di Storia, University of Salento, Società e Studi Sull' Uomo, Studium 2000-Edificio 5-Via di Valesio, 73100 Lecce, Italy
Autori CNR e affiliazioni
  • COSIMO DISTANTE
  • MARCO LEO
  • PIERLUIGI CARCAGNI'
  • PIER LUIGI MAZZEO
  • PAOLO SPAGNOLO
Lingua/e
  • inglese
AbstractIn this paper, a computational approach is proposed and put into practice to assess the capability of children having had diagnosed Autism Spectrum Disorders (ASD) to produce facial expressions. The proposed approach is based on computer vision components working on sequence of images acquired by an off-the-shelf camera in unconstrained conditions. Action unit intensities are estimated by analyzing local appearance and then both temporal and geometrical relationships, learned by Convolutional Neural Networks, are exploited to regularize gathered estimates. To cope with stereotyped movements and to highlight even subtle voluntary movements of facial muscles, a personalized and contextual statistical modeling of non-emotional face is formulated and used as a reference. Experimental results demonstrate how the proposed pipeline can improve the analysis of facial expressions produced by ASD children. A comparison of system's outputs with the evaluations performed by psychologists, on the same group of ASD children, makes evident how the performed quantitative analysis of children's abilities helps to go beyond the traditional qualitative ASD assessment/diagnosis protocols, whose outcomes are affected by human limitations in observing and understanding multi-cues behaviors such as facial expressions.
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RivistaSensors (Basel)
Attiva dal 2001
Editore: Molecular Diversity Preservation International (MDPI), - Basel
Lingua: inglese
ISSN: 1424-8220
Titolo chiave: Sensors (Basel)
Titolo proprio: Sensors. (Basel)
Titolo abbreviato: Sensors (Basel)
Numero volume della rivista18
Fascicolo della rivista11
DOI10.3390/s18113993
Verificato da refereeSì: Internazionale
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)-
Parole chiavequantitative facial expression analysis;, facial action units, ASD diagnosis and assessment, computer vision
Link (URL, URI)https://www.mdpi.com/1424-8220/18/11/3993
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Strutture CNR
  • ISASI — Istituto di Scienze Applicate e Sistemi Intelligenti "Eduardo Caianiello"
Moduli/Attività/Sottoprogetti CNR
  • DFM.AD001.039.001 : Assistive Computer Vision and Robotics
Progetti Europei-
Allegati
documento pubblicato (documento privato )
Tipo documento: application/pdf