Digital photography based food intake prediction using artificial neural network
Introduction Many wearable devices monitoring have been proposed to complement self-reporting of users’ caloric intake and eating behaviours. These devices comprise varying sensing modalities, such as acoustic, visual, inertial, EEG, EMG, capacitive and piezoelectric sensors. In this research, food...
Main Authors: | Gunawan, Teddy Surya, Kartiwi, Mira |
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Format: | Article |
Language: | English English |
Published: |
Malaysian Medical Association
2017
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Subjects: | |
Online Access: | http://irep.iium.edu.my/59505/ http://irep.iium.edu.my/59505/ http://irep.iium.edu.my/59505/1/MJM_v72-Supp-1-2017.pdf http://irep.iium.edu.my/59505/2/Teddy_FoodIntakeNN.pptx |
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