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 |
|---|---|
| Format: | Article |
| Language: | English English |
| Published: |
Malaysian Medical Association
2017
|
| 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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