A Video Repository for Innovative Methods of Dietary Assessment and Analysis
ARTICLES DISCUSSED: Lasschuijt, M. P. et al. Concept development and use of an automated food intake and eating behavior assessment method. Journal of Visualized Experiments. (168), e62144 (2021). Chung, J. et al. Design and evaluation of smart glasses for food intake and physical activity classific...
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| Format: | Article |
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2023
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| Online Access: | https://repository.li.mahidol.ac.th/handle/123456789/81717 |
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| Institution: | Mahidol University |
| Summary: | ARTICLES DISCUSSED: Lasschuijt, M. P. et al. Concept development and use of an automated food intake and eating behavior assessment method. Journal of Visualized Experiments. (168), e62144 (2021). Chung, J. et al. Design and evaluation of smart glasses for food intake and physical activity classification. Journal of Visualized Experiments. (132), e56633 (2018). Lucassen, D. A., Brouwer-Brolsma, E. M., van de Wiel, A. M., Siebelink, E., Feskens, E. J. Iterative development of an innovative smartphone-based dietary assessment tool: TRAQQ. Journal of Visualized Experiments. (169), e62032 (2021). Boronat, A. et al. Mobile device-assisted dietary ecological momentary assessments for the evaluation of the adherence to the Mediterranean diet in a continuous manner. Journal of Visualized Experiments. (175), e62161 (2021). Meroni, A., Jualim, N., Fuller, N. 'Boden Food Plate': novel interactive web-based method for the assessment of dietary intake. Journal of Visualized Experiments. (139), e57923 (2018). Mezgec, S., Seljak, B. K. Deep neural networks for image-based dietary assessment. Journal of Visualized Experiments. (169), e61906 (2021). Bromage, S. Integrated spreadsheets for nutritional analysis of population diet surveys. Journal of Visualized Experiments. (188), e64327 (2022). |
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