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Recognition and Repetition Counting for Complex Physical Exercises with Deep Learning
Activity recognition using off-the-shelf smartwatches is an important problem in human activity recognition. In this paper, we present an end-to-end deep learning approach, able to provide probability distributions over activities from raw sensor data. We apply our methods to 10 complex full-body ex...
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| Publié dans: | Sensors (Basel) |
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| Auteurs principaux: | , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI
2019
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6387025/ https://ncbi.nlm.nih.gov/pubmed/30744158 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19030714 |
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