Abstract
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 language | English |
|---|---|
| Title of host publication | IMVIP 2020 Irish Machine Vision and Image Processing Conference |
| Place of Publication | Sligo |
| Publisher | Irish Pattern Recognition and Classification Society |
| Pages | 137 |
| Number of pages | 140 |
| ISBN (Electronic) | 978-0-9934207-5-7 |
| Publication status | Published (in print/issue) - 31 Aug 2020 |
| Event | Irish Machine Vision and Image Processing Conference 2020 - Sligo, Ireland Duration: 31 Aug 2020 → 2 Sept 2020 https://imvipconference.github.io/#proceedings |
Conference
| Conference | Irish Machine Vision and Image Processing Conference 2020 |
|---|---|
| Country/Territory | Ireland |
| City | Sligo |
| Period | 31/08/20 → 2/09/20 |
| Internet address |
Keywords
- Repetitive Hand Movements
- Repetitive Behaviours
- Activity Recognition
- Skeletal Joints
- Agitation
