Technological approaches to fundamental movement skill assessment in children

Research output: ThesisDoctoral Thesis

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Fundamental movement skill (FMS) assessment is important for monitoring child development, although limited time
and expertise in primary education settings prevents reliable administration. This thesis investigated possible automated computational approaches to overcome several limitations of field-based FMS assessment, by investigating human FMS assessment accuracy, reliability and observation strategies. The findings highlighted the impact of human attentional capacities on field-based FMS assessment, suggesting that human-modelled approaches may require further understanding, if they are to inform computational assessments, which aren't limited by human attentional constraints. Future assessment developments should investigate emerging capture technologies and computational approaches to minimise barriers to reliable FMS assessment.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • The University of Western Australia
  • Thornton, Ashleigh, Supervisor
  • Lay, Brendan, Supervisor
  • Rosenberg, Michael, Supervisor
Thesis sponsors
Award date2 Jul 2019
Publication statusUnpublished - 2019


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