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Wearable Devices and Sensors (1247) New Methods (1201) mHealth for Wellness, Behavior Change and Prevention (3490) Evaluation and Research Methodology for mHealth (261) Imaging Informatics (352) Instruments and Questionnaires for Nutrition and Food Intake (232) Machine Learning (2308)

Published on in Vol 9, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21926, first published .
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Deep Learning–Based Multimodal Data Fusion: Case Study in Food Intake Episodes Detection Using Wearable Sensors

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

Authors of this article:

Nooshin Bahador1 Author Orcid Image ;   Denzil Ferreira1 Author Orcid Image ;   Satu Tamminen1 Author Orcid Image ;   Jukka Kortelainen1 Author Orcid Image
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