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Modular Bayesian Networks with Low-Power Wearable Sensors for Recognizing Eating Activities

Recently, recognizing a user’s daily activity using a smartphone and wearable sensors has become a popular issue. However, in contrast with the ideal definition of an experiment, there could be numerous complex activities in real life with respect to its various background and contexts: time, space,...

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Detalles Bibliográficos
Autores principales: Kim, Kee-Hoon, Cho, Sung-Bae
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5751632/
https://www.ncbi.nlm.nih.gov/pubmed/29232937
http://dx.doi.org/10.3390/s17122877