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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,...
Autores principales: | Kim, Kee-Hoon, Cho, Sung-Bae |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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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 |
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