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...
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| Main Authors: | , |
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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/59505/1/MJM_v72-Supp-1-2017.pdf http://irep.iium.edu.my/59505/2/Teddy_FoodIntakeNN.pptx http://irep.iium.edu.my/59505/ http://www.e-mjm.org/2017/v72s1/index.html |
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