Applying Multivariate Segmentation Methods to Human Activity Recognition From Wearable Sensors’ Data

BACKGROUND: Time-resolved quantification of physical activity can contribute to both personalized medicine and epidemiological research studies, for example, managing and identifying triggers of asthma exacerbations. A growing number of reportedly accurate machine learning algorithms for human activ...

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Detalles Bibliográficos
Autores principales: Li, Kenan, Habre, Rima, Deng, Huiyu, Urman, Robert, Morrison, John, Gilliland, Frank D, Ambite, José Luis, Stripelis, Dimitris, Chiang, Yao-Yi, Lin, Yijun, Bui, Alex AT, King, Christine, Hosseini, Anahita, Vliet, Eleanne Van, Sarrafzadeh, Majid, Eckel, Sandrah P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2019
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6386646/
https://www.ncbi.nlm.nih.gov/pubmed/30730297
http://dx.doi.org/10.2196/11201

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6386646/
https://www.ncbi.nlm.nih.gov/pubmed/30730297
http://dx.doi.org/10.2196/11201

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