Abstract | ||
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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. |
Year | DOI | Venue |
---|---|---|
2016 | 10.1007/978-3-319-48680-2_47 | ADVANCED CONCEPTS FOR INTELLIGENT VISION SYSTEMS, ACIVS 2016 |
Keywords | Field | DocType |
Autism spectrum disorders,ADOS,RGB-D device,People and object tracking,Ontology | Autism Diagnostic Observation Schedule,Metadata,Computer vision,Ontology,Embedding,Machine vision,Computer science,RGB color model,Artificial intelligence,Robot,Wearable technology | Conference |
Volume | ISSN | Citations |
10016 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 6 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Marco Leo | 1 | 81 | 12.03 |
Marco Del Coco | 2 | 21 | 5.20 |
Pierluigi Carcagnì | 3 | 31 | 7.19 |
Pier Luigi Mazzeo | 4 | 72 | 13.84 |
Paolo Spagnolo | 5 | 168 | 22.37 |
Cosimo Distante | 6 | 53 | 15.36 |