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Self-Stimulatory Behaviours in the Wild for Autism Diagnosis

Rajagopalan, Shyam Sundar; Dhall, Abhinav; Goecke, Roland

Description

Autism Spectrum Disorders (ASD), often referred to as autism, are neurological disorders characterised by deficits in cognitive skills, social and communicative behaviours. A common way of diagnosing ASD is by studying behavioural cues expressed by the children. We introduce a new publicly-available dataset of children videos exhibiting self-stimulatory (stimming) behaviours commonly used for autism diagnosis. These videos, posted by parents/caregivers in public domain websites, are collected...[Show more]

dc.contributor.authorRajagopalan, Shyam Sundar
dc.contributor.authorDhall, Abhinav
dc.contributor.authorGoecke, Roland
dc.coverage.spatialSydney Australia
dc.date.accessioned2015-12-10T23:22:48Z
dc.date.createdDecember 1-8 2013
dc.identifier.isbn9781479930227
dc.identifier.urihttp://hdl.handle.net/1885/66671
dc.description.abstractAutism Spectrum Disorders (ASD), often referred to as autism, are neurological disorders characterised by deficits in cognitive skills, social and communicative behaviours. A common way of diagnosing ASD is by studying behavioural cues expressed by the children. We introduce a new publicly-available dataset of children videos exhibiting self-stimulatory (stimming) behaviours commonly used for autism diagnosis. These videos, posted by parents/caregivers in public domain websites, are collected and annotated for the stimming behaviours. These videos are extremely challenging for automatic behaviour analysis as they are recorded in uncontrolled natural settings. The dataset contains 75 videos with an average duration of 90 seconds per video, grouped under three categories of stimming behaviours: arm flapping, head banging and spinning. We also provide baseline results of tests conducted on this dataset using a standard bag of words approach for human action recognition. To the best of our knowledge, this is the first attempt in publicly making available a Self-Stimulatory Behaviour Dataset (SSBD) of children videos recorded in natural settings.
dc.publisherIEEE
dc.relation.ispartofseries2013 14th IEEE International Conference on Computer Vision Workshops, ICCVW 2013
dc.sourceProceedings of the IEEE International Conference on Computer Vision
dc.titleSelf-Stimulatory Behaviours in the Wild for Autism Diagnosis
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2013
local.identifier.absfor080104 - Computer Vision
local.identifier.ariespublicationu4334215xPUB1323
local.type.statusPublished Version
local.contributor.affiliationRajagopalan, Shyam Sundar, University of Canberra
local.contributor.affiliationDhall, Abhinav, College of Engineering and Computer Science, ANU
local.contributor.affiliationGoecke, Roland, College of Engineering and Computer Science, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.startpage755
local.bibliographicCitation.lastpage761
local.identifier.doi10.1109/ICCVW.2013.103
local.identifier.absseo970111 - Expanding Knowledge in the Medical and Health Sciences
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
dc.date.updated2015-12-10T10:34:42Z
local.identifier.scopusID2-s2.0-84897520406
CollectionsANU Research Publications

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