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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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| Publicado en: | JMIR Mhealth Uhealth |
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| Autores principales: | , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
JMIR Publications
2021
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| Materias: | |
| Acceso en línea: | 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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