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An End-to-End Deep Learning Pipeline for Football Activity Recognition Based on Wearable Acceleration Sensors
Action statistics in sports, such as the number of sprints and jumps, along with the details of the corresponding locomotor actions, are of high interest to coaches and players, as well as medical staff. Current video-based systems have the disadvantage that they are costly and not easily transporta...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8963100/ https://www.ncbi.nlm.nih.gov/pubmed/35214245 http://dx.doi.org/10.3390/s22041347 |