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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...
Autores principales: | Soro, Andrea, Brunner, Gino, Tanner, Simon, Wattenhofer, Roger |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6387025/ https://www.ncbi.nlm.nih.gov/pubmed/30744158 http://dx.doi.org/10.3390/s19030714 |
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