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Machine learning in human movement biomechanics: Best practices, common pitfalls, and new opportunities
Traditional laboratory experiments, rehabilitation clinics, and wearable sensors offer biomechanists a wealth of data on healthy and pathological movement. To harness the power of these data and make research more efficient, modern machine learning techniques are starting to complement traditional s...
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| Publié dans: | J Biomech |
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| Auteurs principaux: | , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
2018
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6879187/ https://ncbi.nlm.nih.gov/pubmed/30279002 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jbiomech.2018.09.009 |
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