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What we eat is one of the most frequent and important health decisions we make in daily life, yet it remains notoriously difficult to capture and understand.
Estimates of food quantity and calories: errors in self-report among obese patients
D. Lansky and K. D Brownell. 1982 · 1982
Earlier work this paper cites.
Nutrition epidemiology: how do we know what they ate?
E Barrett-Connor. 1991 · 1991
Earlier work this paper cites.
The prevalence and impact of a typical days in 4-day food records
Kristal A. R. Cheney C. L. Craig, M. R. and A. L Shattuck. 2000 · 2000
Earlier work this paper cites.
The Use of Mobile Devices in Aiding Dietary Assessment and Evaluation. IEEE J. Sel. Top. Signal Process, 756–766
F Zhu. 2010 · 2010
Cited alongside, same era.
Building high-level features using large scale unsupervised learning. ICASSP
Q. et al Le. 2012 · 2012
Cited alongside, same era.
Factors Related to Sustained Use of a Free Mobile App for Dietary Self-Monitoring With Photography and Peer Feedback: Retrospective Cohort Study
Kaipainen K. Korhonen I. Helander, E. and Wansink. 2014 · 2014
Cited alongside, same era.
Effects of Internet behavioral counseling on weight loss in adults at risk for type 2 diabetes: a randomized trial
Cited in the paper.
Rethinking the Mobile Food Journal: Exploring Opportunities for Lightweight Photo-Based Capture
Bales E. Cherry E. Cordeiro, F. and Fogarty. 2015 · 2015
Later among the works it cites.
Exploring Challenges in Food Journaling. ACM Conference on Human Factors in Computing Systems, 1159–1162
F. et al. Barriers Cordeiro and Negative Nudges. 2015 · 2015
Later among the works it cites.
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