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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Detalles Bibliográficos
Autores principales: Bahador, Nooshin, Ferreira, Denzil, Tamminen, Satu, Kortelainen, Jukka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7878112/
https://www.ncbi.nlm.nih.gov/pubmed/33507156
http://dx.doi.org/10.2196/21926

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7878112/
https://www.ncbi.nlm.nih.gov/pubmed/33507156
http://dx.doi.org/10.2196/21926

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