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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Detalles Bibliográficos
Autores principales: Soro, Andrea, Brunner, Gino, Tanner, Simon, Wattenhofer, Roger
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
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

Internet

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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