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Automatic Assessment of Functional Movement Screening Exercises with Deep Learning Architectures
(1) Background: The success of physiotherapy depends on the regular and correct unsupervised performance of movement exercises. A system that automatically evaluates these exercises could increase effectiveness and reduce risk of injury in home based therapy. Previous approaches in this area rarely...
Autores principales: | Spilz, Andreas, Munz, Michael |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824359/ https://www.ncbi.nlm.nih.gov/pubmed/36616604 http://dx.doi.org/10.3390/s23010005 |
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