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A Comparison of Three Neural Network Approaches for Estimating Joint Angles and Moments from Inertial Measurement Units
The application of artificial intelligence techniques to wearable sensor data may facilitate accurate analysis outside of controlled laboratory settings—the holy grail for gait clinicians and sports scientists looking to bridge the lab to field divide. Using these techniques, parameters that are dif...
Bewaard in:
| Gepubliceerd in: | Sensors (Basel) |
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| Hoofdauteurs: | , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
MDPI
2021
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8271391/ https://ncbi.nlm.nih.gov/pubmed/34283080 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21134535 |
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