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An Exploration of Machine-Learning Estimation of Ground Reaction Force from Wearable Sensor Data
This study aimed to develop a wearable sensor system, using machine-learning models, capable of accurately estimating peak ground reaction force (GRF) during ballet jumps in the field. Female dancers (n = 30) performed a series of bilateral and unilateral ballet jumps. Dancers wore six ActiGraph Lin...
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| Опубликовано в: : | Sensors (Basel) |
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| Главные авторы: | , , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
MDPI
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7038404/ https://ncbi.nlm.nih.gov/pubmed/32013212 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20030740 |
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