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...

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Detalles Bibliográficos
Autores principales: Guduru, Rama Krishna Reddy, Domeika, Aurelijus, Dubosiene, Milda, Kazlauskiene, Kristina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Focus
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

Internet

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

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