Automatic Recognition of Repetitive Hand Movements

Fiona Marshall, Bryan Scotney, Shuai Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Repetitive movements are associated with several neurological disorders including autism, dementia and Parkinson’s disease. The automatic recognition of these movements can provide information that enables carers and clinicians to better monitor these conditions. Whilst a variety of approaches has been used to detect and measure repetitive body movements, the automatic recognition of repetitive hand movements has seen less attention. We introduce a novel video-based dataset of repetitive hand movements and propose a simple but effective method of recognition based on a small number of discriminative poses.
Original languageEnglish
Title of host publicationIMVIP 2020 Irish Machine Vision and Image Processing Conference
Place of PublicationSligo
PublisherIrish Pattern Recognition and Classification Society
Number of pages140
ISBN (Electronic)978-0-9934207-5-7
Publication statusPublished (in print/issue) - 31 Aug 2020
EventIrish Machine Vision and Image Processing Conference 2020 - Sligo, Ireland
Duration: 31 Aug 20202 Sept 2020


ConferenceIrish Machine Vision and Image Processing Conference 2020
Internet address


  • Repetitive Hand Movements
  • Repetitive Behaviours
  • Activity Recognition
  • Skeletal Joints
  • Agitation


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