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VI-Net—View-Invariant Quality of Human Movement Assessment
We propose a view-invariant method towards the assessment of the quality of human movements which does not rely on skeleton data. Our end-to-end convolutional neural network consists of two stages, where at first a view-invariant trajectory descriptor for each body joint is generated from RGB images...
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| Foilsithe in: | Sensors (Basel) |
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| Main Authors: | , , , |
| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe: |
MDPI
2020
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| Ábhair: | |
| Rochtain Ar Líne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7570706/ https://ncbi.nlm.nih.gov/pubmed/32942561 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20185258 |
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