Analyze hand motor capabilities for potential autistic intervention: a feasibility study

Carrie M. Toptan, Dinghuang Zhang, Honghai Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

This paper aims to explore differences in hand motor capabilities with a focus for potential autistic intervention. In order to achieve that, a predefined drawing scenario is introduced with a metric of three complexity levels and predefined motion protocols. Then, a vision-based acquisition system for hand motor capability is proposed. It is evident that detecting differences in hand motor capabilities has a huge potential to detect hand motion difficulties in Autism. Hence, this study paves the way for the use of technology for early diagnosis and potential intervention in Autism.

Original languageEnglish
Title of host publicationProceedings of 2023 International Conference on Machine Learning and Cybernetics, ICMLC 2023
PublisherIEEE Computer Society
Pages543-549
Number of pages7
ISBN (Electronic)9798350303780
DOIs
Publication statusPublished - 28 Nov 2023
Event2023 International Conference on Machine Learning and Cybernetics, ICMLC 2023 - Adelaide, Australia
Duration: 9 Jul 202311 Jul 2023

Publication series

NameProceedings - International Conference on Machine Learning and Cybernetics
ISSN (Print)2160-133X
ISSN (Electronic)2160-1348

Conference

Conference2023 International Conference on Machine Learning and Cybernetics, ICMLC 2023
Country/TerritoryAustralia
CityAdelaide
Period9/07/2311/07/23

Keywords

  • ASD
  • Autism
  • Autism spectrum disorders
  • Drawing scenario
  • Hand motor capability
  • Hand-motion
  • Hand-motion difficulties
  • Motor difficulties
  • Vision-based acquisition system

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