Abstract

ASD diagnose and assessment make use of medical protocol validated by the scientific community that is still reluctant to new protocols introducing invasive technologies, as robots or wearable devices, whose influence on the theraphy has not been deeply investigated. This work attempts to undertake the difficult challenge of embedding a technological level into the standardized ASD protocol known as Autism Diagnostic Observation Schedule (ADOS-2). An intelligent video system is introduced to compute, in an objective and automatic way, the evaluation scores for some of the tasks involved in the protocol. It make use of a hidden RGB-D device for scene acquisition the data of which feed a cascade of algorithmic steps by which people and objects are detected and temporally tracked and then extracted information is exploited by fitting a spatial and temporal model described by means of an ontology approach. The ontology metadata are finally processed to find a mapping between them and the behavioral tasks described in the protocol.

Autore Pugliese

• Leo Marco , Mazzeo Pier Luigi

Tutti gli autori

• Leo M. ; Del Coco M. ; Carcagni P. ; Mazzeo P.L. ; Spagnolo P. ; Distante C.

Titolo volume/Rivista

Lecture notes in computer science

Anno di pubblicazione

2016

ISSN

0302-9743

ISBN

Non Disponibile

Numero di citazioni Wos

Nessuna citazione

Ultimo Aggiornamento Citazioni

Non Disponibile

Numero di citazioni Scopus

Non Disponibile

Ultimo Aggiornamento Citazioni

Non Disponibile

Settori ERC

Non Disponibile

Codici ASJC

Non Disponibile