Eye-hand coordination based properties for social capability representation: a case study

Carrie M. Toptan*, Dinghuang Zhang, Honghai Liu

*Corresponding author for this work

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

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This paper explores social capability properties via eye-hand coordination with a case study. In order to investigate social capability properties, an ICF based protocol is designed and experiments are conducted in a customized platform for investigating social capability for children with autism spectrum disorder. A set of eye-hand coordination based properties are extracted to represent individual social capability in terms of eye-hand coordination. A set of metric are also defined to measure the coordination behaviour such as engagement. It is evident that the eye-hand coordination based properties have huge potential for analyzing social capability, pave the way for machine-assisted intervention for ASD children.

Original languageEnglish
Title of host publication2022 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781665452588
ISBN (Print)9781665452595
Publication statusPublished - 18 Nov 2022
Event2022 IEEE International Conference on Systems, Man, and Cybernetics - Prague, Czech Republic
Duration: 9 Oct 202212 Oct 2022

Publication series

NameIEEE SMC Proceedings Series
ISSN (Print)1062-922X
ISSN (Electronic)2577-1655


Conference2022 IEEE International Conference on Systems, Man, and Cybernetics
Abbreviated titleSMC 2022
Country/TerritoryCzech Republic


  • ASD
  • autism
  • autism spectrum disorders
  • engagement
  • hand movements
  • ICF
  • RQA
  • Shannon entropy
  • social capabilities

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