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Deep Learning–Based Multimodal Data Fusion: Case Study in Food Intake Episodes Detection Using Wearable Sensors

BACKGROUND: Multimodal wearable technologies have brought forward wide possibilities in human activity recognition, and more specifically personalized monitoring of eating habits. The emerging challenge now is the selection of most discriminative information from high-dimensional data collected from...

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Detalhes bibliográficos
Publicado no:JMIR Mhealth Uhealth
Main Authors: Bahador, Nooshin, Ferreira, Denzil, Tamminen, Satu, Kortelainen, Jukka
Formato: Artigo
Idioma:Inglês
Publicado em: JMIR Publications 2021
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7878112/
https://ncbi.nlm.nih.gov/pubmed/33507156
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/21926
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