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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th-mahidol.817172023-05-19T14:37:17Z A Video Repository for Innovative Methods of Dietary Assessment and Analysis Bromage S. Mahidol University Chemical Engineering 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). 2023-05-19T07:37:17Z 2023-05-19T07:37:17Z 2023-02-01 Article Journal of Visualized Experiments Vol.2023 No.192 (2023) 10.3791/64958 1940087X 2-s2.0-85148038430 https://repository.li.mahidol.ac.th/handle/123456789/81717 SCOPUS |
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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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A Video Repository for Innovative Methods of Dietary Assessment and Analysis |
title_short |
A Video Repository for Innovative Methods of Dietary Assessment and Analysis |
title_full |
A Video Repository for Innovative Methods of Dietary Assessment and Analysis |
title_fullStr |
A Video Repository for Innovative Methods of Dietary Assessment and Analysis |
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A Video Repository for Innovative Methods of Dietary Assessment and Analysis |
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video repository for innovative methods of dietary assessment and analysis |
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2023 |
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https://repository.li.mahidol.ac.th/handle/123456789/81717 |
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1781416449673265152 |