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Prediction framework for upper body sedentary working behaviour by using deep learning and machine learning techniques
Public health experts and healthcare professionals are gradually identifying sedentary activity as a population-wide, pervasive health risk. The purpose of this paper is to propose a method to identify the changes in posture during sedentary work and to give feedback by analysing the identified post...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8385485/ https://www.ncbi.nlm.nih.gov/pubmed/34456620 http://dx.doi.org/10.1007/s00500-021-06156-8 |