ORCID Profile
0000-0002-6761-0992
Current Organisations
UNSW Sydney
,
University of New South Wales
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Publisher: Informa UK Limited
Date: 03-04-2021
Publisher: Springer Vienna
Date: 2005
Publisher: transcript Verlag
Date: 03-09-2020
Publisher: MIT Press - Journals
Date: 10-2002
Publisher: transcript Verlag
Date: 31-12-2020
Publisher: Springer Science and Business Media LLC
Date: 30-09-2020
DOI: 10.1038/S41398-020-01015-W
Abstract: The current state of computer vision methods applied to autism spectrum disorder (ASD) research has not been well established. Increasing evidence suggests that computer vision techniques have a strong impact on autism research. The primary objective of this systematic review is to examine how computer vision analysis has been useful in ASD diagnosis, therapy and autism research in general. A systematic review of publications indexed on PubMed, IEEE Xplore and ACM Digital Library was conducted from 2009 to 2019. Search terms included [‘autis*’ AND (‘computer vision’ OR ‘behavio* imaging’ OR ‘behavio* analysis’ OR ‘affective computing’)]. Results are reported according to PRISMA statement. A total of 94 studies are included in the analysis. Eligible papers are categorised based on the potential biological/behavioural markers quantified in each study. Then, different computer vision approaches that were employed in the included papers are described. Different publicly available datasets are also reviewed in order to rapidly familiarise researchers with datasets applicable to their field and to accelerate both new behavioural and technological work on autism research. Finally, future research directions are outlined. The findings in this review suggest that computer vision analysis is useful for the quantification of behavioural/biological markers which can further lead to a more objective analysis in autism research.
Publisher: ACM
Date: 14-11-2019
Publisher: Springer Berlin Heidelberg
Date: 2009
Publisher: MIT Press - Journals
Date: 06-2011
DOI: 10.1162/LEON_A_00165
Abstract: Interactive narratives are inextricable from the way that we understand our encounters with digital technology. This is based upon the way that these encounters are processually formed into a narrative of episodic events, arranged and re-arranged by various levels of agency. After describing past research conducted at the iCinema Research Centre at the University of New South Wales, this paper sets out a framework within which to build a relational theory of interactive narrative formation, outlining future research in the area.
Publisher: Springer International Publishing
Date: 2019
Publisher: ISEA & UOC
Date: 15-12-2022
Publisher: IEEE
Date: 12-2014
Start Date: 2015
End Date: 2015
Funder: Australian Research Council
View Funded ActivityStart Date: 2018
End Date: 2020
Funder: Australian Research Council
View Funded ActivityStart Date: 2010
End Date: 2014
Funder: Australian Research Council
View Funded ActivityStart Date: 2011
End Date: 2015
Funder: Australian Research Council
View Funded ActivityStart Date: 2005
End Date: 2009
Funder: Australian Research Council
View Funded ActivityStart Date: 2002
End Date: 2004
Funder: Australian Research Council
View Funded ActivityStart Date: 2010
End Date: 2012
Funder: Australian Research Council
View Funded ActivityStart Date: 2003
End Date: 2005
Funder: Australian Research Council
View Funded ActivityStart Date: 2012
End Date: 2014
Funder: Australian Research Council
View Funded ActivityStart Date: 2015
End Date: 2017
Funder: Australian Research Council
View Funded ActivityStart Date: 2013
End Date: 2013
Funder: Australian Research Council
View Funded ActivityStart Date: 2006
End Date: 2009
Funder: Australian Research Council
View Funded ActivityStart Date: 2004
End Date: 2004
Funder: Australian Research Council
View Funded ActivityStart Date: 2004
End Date: 2005
Funder: Australian Research Council
View Funded ActivityStart Date: 2003
End Date: 2003
Funder: Australian Research Council
View Funded Activity