Dietary assessment and self-monitoring: With nutrition applications for mobile devices

JRL Lieffers, RM Hanning - Canadian Journal of Dietetic Practice and …, 2012 - dcjournal.ca
Nutrition applications for mobile devices (eg, personal digital assistants, smartphones) are
becoming increasingly accessible and can assist with the difficult task of intake recording for …

[HTML][HTML] Validation of physical activity tracking via android smartphones compared to ActiGraph accelerometer: laboratory-based and free-living validation studies

EB Hekler, MP Buman, L Grieco… - JMIR mHealth and …, 2015 - mhealth.jmir.org
Background: There is increasing interest in using smartphones as stand-alone physical
activity monitors via their built-in accelerometers, but there is presently limited data on the …

Global dietary surveillance: data gaps and challenges

R Micha, J Coates, C Leclercq… - Food and nutrition …, 2018 - journals.sagepub.com
Background: Detailed information on global individual-level consumption patterns is
imperative for informed policy making. However, such data are dispersed and incomplete …

Macronutrient distribution and dietary sources in the Spanish population: findings from the ANIBES study

E Ruiz, JM Ávila, T Valero, S Del Pozo, P Rodriguez… - Nutrients, 2016 - mdpi.com
Our aim was to analyze dietary macronutrient intake and its main sources according to sex
and age. Results were derived from the ANIBES (“Anthropometry, Intake and Energy …

Vision-based approaches for automatic food recognition and dietary assessment: A survey

MA Subhi, SH Ali, MA Mohammed - IEEE Access, 2019 - ieeexplore.ieee.org
Consuming the proper amount and right type of food have been the concern of many
dieticians and healthcare conventions. In addition to physical activity and exercises …

Long-tailed food classification

J He, L Lin, HA Eicher-Miller, F Zhu - Nutrients, 2023 - mdpi.com
Food classification serves as the basic step of image-based dietary assessment to predict
the types of foods in each input image. However, foods in real-world scenarios are typically …

DietCam: multiview food recognition using a multikernel SVM

H He, F Kong, J Tan - IEEE journal of biomedical and health …, 2015 - ieeexplore.ieee.org
Food recognition is a key component in evaluation of everyday food intakes, and its
challenge is due to intraclass variation. In this paper, we present an automatic food …

Vision-based methods for food and fluid intake monitoring: a literature review

X Chen, EN Kamavuako - Sensors, 2023 - mdpi.com
Food and fluid intake monitoring are essential for reducing the risk of dehydration,
malnutrition, and obesity. The existing research has been preponderantly focused on dietary …

Point2volume: A vision-based dietary assessment approach using view synthesis

FPW Lo, Y Sun, J Qiu, BPL Lo - IEEE Transactions on Industrial …, 2019 - ieeexplore.ieee.org
Dietary assessment is an important tool for nutritional epidemiology studies. To assess the
dietary intake, the common approach is to carry out 24-h dietary recall (24HR), a structured …

[HTML][HTML] Carbohydrate estimation by a mobile phone-based system versus self-estimations of individuals with type 1 diabetes mellitus: a comparative study

D Rhyner, H Loher, J Dehais, M Anthimopoulos… - Journal of medical …, 2016 - jmir.org
Background Diabetes mellitus is spreading throughout the world and diabetic individuals
have been shown to often assess their food intake inaccurately; therefore, it is a matter of …