Recognition of Sedentary Behavior by Machine Learning Analysis of Wearable Sensors during Activities of Daily Living for Telemedical Assessment of Cardiovascular Risk

With the recent advancement in wearable computing, sensor technologies, and data processing approaches, it is possible to develop smart clothing that integrates sensors into garments. The main objective of this study was to develop the method of automatic recognition of sedentary behavior related to...

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Detalles Bibliográficos
Autor principal: Kańtoch, Eliasz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210891/
https://www.ncbi.nlm.nih.gov/pubmed/30249987
http://dx.doi.org/10.3390/s18103219

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210891/
https://www.ncbi.nlm.nih.gov/pubmed/30249987
http://dx.doi.org/10.3390/s18103219

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