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Sensor Data Required for Automatic Recognition of Athletic Tasks Using Deep Neural Networks
Movement screens are used to assess the overall movement quality of an athlete. However, these rely on visual observation of a series of movements and subjective scoring. Data-driven methods to provide objective scoring of these movements are being developed. These currently use optical motion captu...
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| Pubblicato in: | Front Bioeng Biotechnol |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Frontiers Media S.A.
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6985033/ https://ncbi.nlm.nih.gov/pubmed/32039178 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fbioe.2019.00473 |
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