abstract

Behavior-based Risk Detection of Autism Spectrum Disorder Through Child-Robot Interaction

Authors:

Hifza Javed,

Chung Hyuk ParkAuthors Info & Claims

HRI '20: Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction

Pages 275 - 277

https://doi.org/10.1145/3371382.3378382

Published: 01 April 2020 Publication History

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Abstract

This work presents a method to identify children at risk for Autism Spectrum Disorder using behavioral data extracted from video analysis of child-robot interactions. Robots were used as a tool to elicit social engagement from the children in order to capture their social behaviors. A Convolutional Neural Network was used to classify the behavioral data as either at-risk ASD or Typical Development. The network performance was compared to two machine learning classifiers and the utility of the proposed method as a way to streamline existing diagnostic procedures was discussed.

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Cited By

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Yang ZZhang YNing JWang XWu Z(2025)Early Diagnosis of Autism: A Review of Video-Based Motion Analysis and Deep Learning TechniquesIEEE Access10.1109/ACCESS.2024.352387213(2903-2928)Online publication date: 2025
https://doi.org/10.1109/ACCESS.2024.3523872
Manakitsa NMaraslidis GMoysis LFragulis G(2024)A Review of Machine Learning and Deep Learning for Object Detection, Semantic Segmentation, and Human Action Recognition in Machine and Robotic VisionTechnologies10.3390/technologies1202001512:2(15)Online publication date: 23-Jan-2024
https://doi.org/10.3390/technologies12020015
Uddin MShahriar MMahamood MAlnajjar FPramanik MAhad M(2024)Deep learning with image-based autism spectrum disorder analysis: A systematic reviewEngineering Applications of Artificial Intelligence10.1016/j.engappai.2023.107185127(107185)Online publication date: Jan-2024
https://doi.org/10.1016/j.engappai.2023.107185
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Behavior-based Risk Detection of Autism Spectrum Disorder Through Child-Robot Interaction

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Published In

HRI '20: Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction

March 2020

702 pages

ISBN:9781450370578

DOI:10.1145/3371382

General Chairs:
Tony Belpaeme
Ghent University, Belgium
,
James Young
University of Manitoba, Canada
,
Program Chairs:
Hatice Gunes
University of Cambridge, UK
,
Laurel Riek
UC San Diego, USA

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 01 April 2020

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NIH (NICHD)
NSF (CBET)

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HRI '20

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HRI '20: ACM/IEEE International Conference on Human-Robot Interaction

March 23 - 26, 2020

Cambridge, United Kingdom

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Yang ZZhang YNing JWang XWu Z(2025)Early Diagnosis of Autism: A Review of Video-Based Motion Analysis and Deep Learning TechniquesIEEE Access10.1109/ACCESS.2024.352387213(2903-2928)Online publication date: 2025
https://doi.org/10.1109/ACCESS.2024.3523872
Manakitsa NMaraslidis GMoysis LFragulis G(2024)A Review of Machine Learning and Deep Learning for Object Detection, Semantic Segmentation, and Human Action Recognition in Machine and Robotic VisionTechnologies10.3390/technologies1202001512:2(15)Online publication date: 23-Jan-2024
https://doi.org/10.3390/technologies12020015
Uddin MShahriar MMahamood MAlnajjar FPramanik MAhad M(2024)Deep learning with image-based autism spectrum disorder analysis: A systematic reviewEngineering Applications of Artificial Intelligence10.1016/j.engappai.2023.107185127(107185)Online publication date: Jan-2024
https://doi.org/10.1016/j.engappai.2023.107185
Vagnetti RDi Nuovo AMazza MValenti M(2024)Social Robots: A Promising Tool to Support People with Autism. A Systematic Review of Recent Research and Critical Analysis from the Clinical PerspectiveReview Journal of Autism and Developmental Disorders10.1007/s40489-024-00434-5Online publication date: 29-Feb-2024
https://doi.org/10.1007/s40489-024-00434-5
Wang YLiu FLei X(2024)Neural Correlates of Robot Personality Perception: An fNIRS StudyCross-Cultural Design10.1007/978-3-031-60913-8_23(332-344)Online publication date: 29-Jun-2024
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Kollias KMaia Marques Torres E Silva LSarigiannidis PSyriopoulou-Delli CFragulis G(2023)Implementation of Robots in Autism Spectrum Disorder Research: Diagnosis and Emotion Recognition and Expression2023 12th International Conference on Modern Circuits and Systems Technologies (MOCAST)10.1109/MOCAST57943.2023.10176588(1-4)Online publication date: 28-Jun-2023
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Lin SLai YChiang HCheng YChien S(2023)Interactive Robot-Aided Diagnosis System for Children with Autism Spectrum DisorderHCI in Business, Government and Organizations10.1007/978-3-031-36049-7_4(41-52)Online publication date: 23-Jul-2023
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Wang MYang N(2022)OTA-NN: Observational Therapy-Assistance Neural Network for Enhancing Autism Intervention Quality2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC)10.1109/CCNC49033.2022.9700714(1-7)Online publication date: 8-Jan-2022
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Robot-Assisted Autism Spectrum Disorder Diagnostic Based on Artificial Reasoning

Identification of autism spectrum disorder based on electroencephalography: A systematic review

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Robot-Assisted Autism Spectrum Disorder Diagnostic Based on Artificial Reasoning

Identification of autism spectrum disorder based on electroencephalography: A systematic review

An inclusive design approach for developing video games for children with Autism Spectrum Disorder

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