Institute of Nutrition, Mahidol University; Department of Nutrition, Harvard T. H. Chan School of Public Health;
Department of Nutrition, Simmons University.
J Vis Exp. 2023 Feb 3(192). doi: 10.3791/64958.
Lasschuijt, M. P. et al. Concept development and use of an automated food intake and eating behavior assessment method. (168), e62144 (2021). Chung, J. et al. Design and evaluation of smart glasses for food intake and physical activity classification. (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. (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. (175), e62161 (2021). Meroni, A., Jualim, N., Fuller, N. ‘Boden Food Plate’: novel interactive web-based method for the assessment of dietary intake. (139), e57923 (2018). Mezgec, S., Seljak, B. K. Deep neural networks for image-based dietary assessment. (169), e61906 (2021). Bromage, S. Integrated spreadsheets for nutritional analysis of population diet surveys. (188), e64327 (2022).
拉斯丘伊特等人。自动饮食摄入和进食行为评估方法的概念开发和使用。(168),e62144(2021 年)。钟等人。用于饮食摄入和身体活动分类的智能眼镜的设计与评估。(132),e56633(2018 年)。卢卡斯等人。基于智能手机的创新饮食评估工具的迭代开发:TRAAQQ。(169),e62032(2021 年)。博罗纳特等人。移动设备辅助的饮食生态瞬时评估,以连续评估对地中海饮食的依从性。(175),e62161(2021 年)。梅罗尼等人。“ Boden Food Plate”:一种新颖的基于网络的交互式方法,用于评估饮食摄入。(139),e57923(2018 年)。梅泽格等人。基于深度学习的图像饮食评估。(169),e61906(2021 年)。布罗姆奇等人。用于人群饮食调查营养分析的集成电子表格。(188),e64327(2022 年)。