Self-Stimulatory Behaviours in the Wild for Autism Diagnosis

Shyam RAJAGOPALAN, Abhinav Dhall, Roland GOECKE

Research output: A Conference proceeding or a Chapter in BookConference contribution

9 Citations (Scopus)

Abstract

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 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
Original languageEnglish
Title of host publicationProceedings of the IEEE International Conference on Computer Vison Workshops (ICCV2013)
EditorsDavid Forsyth, Yin Li, James M Rehg
Place of PublicationPiscataway, USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages755-761
Number of pages7
ISBN (Print)9781479930227
DOIs
Publication statusPublished - 2013
Event2013 IEEE International conference on computer vision workshops - Sydney, Sydney, Australia
Duration: 2 Dec 20138 Dec 2013

Workshop

Workshop2013 IEEE International conference on computer vision workshops
CountryAustralia
CitySydney
Period2/12/138/12/13

Fingerprint

Websites

Cite this

RAJAGOPALAN, S., Dhall, A., & GOECKE, R. (2013). Self-Stimulatory Behaviours in the Wild for Autism Diagnosis. In D. Forsyth, Y. Li, & J. M. Rehg (Eds.), Proceedings of the IEEE International Conference on Computer Vison Workshops (ICCV2013) (pp. 755-761). Piscataway, USA: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICCVW.2013.103
RAJAGOPALAN, Shyam ; Dhall, Abhinav ; GOECKE, Roland. / Self-Stimulatory Behaviours in the Wild for Autism Diagnosis. Proceedings of the IEEE International Conference on Computer Vison Workshops (ICCV2013). editor / David Forsyth ; Yin Li ; James M Rehg. Piscataway, USA : IEEE, Institute of Electrical and Electronics Engineers, 2013. pp. 755-761
@inproceedings{8d71fe7eb487498d840b185661f13620,
title = "Self-Stimulatory Behaviours in the Wild for Autism Diagnosis",
abstract = "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 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",
keywords = "Computational behaviour analysis, Self-stimulatory behaviours, Autism",
author = "Shyam RAJAGOPALAN and Abhinav Dhall and Roland GOECKE",
year = "2013",
doi = "10.1109/ICCVW.2013.103",
language = "English",
isbn = "9781479930227",
pages = "755--761",
editor = "David Forsyth and Yin Li and Rehg, {James M}",
booktitle = "Proceedings of the IEEE International Conference on Computer Vison Workshops (ICCV2013)",
publisher = "IEEE, Institute of Electrical and Electronics Engineers",
address = "United States",

}

RAJAGOPALAN, S, Dhall, A & GOECKE, R 2013, Self-Stimulatory Behaviours in the Wild for Autism Diagnosis. in D Forsyth, Y Li & JM Rehg (eds), Proceedings of the IEEE International Conference on Computer Vison Workshops (ICCV2013). IEEE, Institute of Electrical and Electronics Engineers, Piscataway, USA, pp. 755-761, 2013 IEEE International conference on computer vision workshops, Sydney, Australia, 2/12/13. https://doi.org/10.1109/ICCVW.2013.103

Self-Stimulatory Behaviours in the Wild for Autism Diagnosis. / RAJAGOPALAN, Shyam; Dhall, Abhinav; GOECKE, Roland.

Proceedings of the IEEE International Conference on Computer Vison Workshops (ICCV2013). ed. / David Forsyth; Yin Li; James M Rehg. Piscataway, USA : IEEE, Institute of Electrical and Electronics Engineers, 2013. p. 755-761.

Research output: A Conference proceeding or a Chapter in BookConference contribution

TY - GEN

T1 - Self-Stimulatory Behaviours in the Wild for Autism Diagnosis

AU - RAJAGOPALAN, Shyam

AU - Dhall, Abhinav

AU - GOECKE, Roland

PY - 2013

Y1 - 2013

N2 - 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 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

AB - 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 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

KW - Computational behaviour analysis

KW - Self-stimulatory behaviours

KW - Autism

U2 - 10.1109/ICCVW.2013.103

DO - 10.1109/ICCVW.2013.103

M3 - Conference contribution

SN - 9781479930227

SP - 755

EP - 761

BT - Proceedings of the IEEE International Conference on Computer Vison Workshops (ICCV2013)

A2 - Forsyth, David

A2 - Li, Yin

A2 - Rehg, James M

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Piscataway, USA

ER -

RAJAGOPALAN S, Dhall A, GOECKE R. Self-Stimulatory Behaviours in the Wild for Autism Diagnosis. In Forsyth D, Li Y, Rehg JM, editors, Proceedings of the IEEE International Conference on Computer Vison Workshops (ICCV2013). Piscataway, USA: IEEE, Institute of Electrical and Electronics Engineers. 2013. p. 755-761 https://doi.org/10.1109/ICCVW.2013.103