This paper is in the following e-collection/theme issue:

Viewpoints and Perspectives (514) Innovations and Technology for Healthy Eating Education (414) Instruments and Questionnaires for Nutrition and Food Intake (166)

Published on in Vol 21, No 12 (2019): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14904, first published .
Counting Bites With Bits: Expert Workshop Addressing Calorie and Macronutrient Intake Monitoring

Counting Bites With Bits: Expert Workshop Addressing Calorie and Macronutrient Intake Monitoring

Counting Bites With Bits: Expert Workshop Addressing Calorie and Macronutrient Intake Monitoring

Authors of this article:

Nabil Alshurafa1, 2, 3 Author Orcid Image ;   Annie Wen Lin1 Author Orcid Image ;   Fengqing Zhu4 Author Orcid Image ;   Roozbeh Ghaffari5 Author Orcid Image ;   Josiah Hester2, 3 Author Orcid Image ;   Edward Delp4 Author Orcid Image ;   John Rogers5, 6 Author Orcid Image ;   Bonnie Spring1 Author Orcid Image
Article Authors Cited by (16) Tweetations (10) Metrics

Journals

  1. Bell B, Alam R, Alshurafa N, Thomaz E, Mondol A, de la Haye K, Stankovic J, Lach J, Spruijt-Metz D. Automatic, wearable-based, in-field eating detection approaches for public health research: a scoping review. npj Digital Medicine 2020;3(1) View
  2. Qiu J, Lo F, Jiang S, Tsai Y, Sun Y, Lo B. Counting Bites and Recognizing Consumed Food from Videos for Passive Dietary Monitoring. IEEE Journal of Biomedical and Health Informatics 2021;25(5):1471 View
  3. Alshurafa N, Zhang S, Romano C, Zhang H, Pfammatter A, Lin A. Association of number of bites and eating speed with energy intake: Wearable technology results under free-living conditions. Appetite 2021;167:105653 View
  4. van den Brink W, van den Broek T, Palmisano S, Wopereis S, de Hoogh I. Digital Biomarkers for Personalized Nutrition: Predicting Meal Moments and Interstitial Glucose with Non-Invasive, Wearable Technologies. Nutrients 2022;14(21):4465 View
  5. Kong N, Moy F, Ong S, Tahir G, Loo C. MyDietCam: Development and usability study of a food recognition integrated dietary monitoring smartphone application. DIGITAL HEALTH 2023;9 View
  6. Taylor J, Allman-Farinelli M, Chen J, Gauglitz J, Hamideh D, Jankowska M, Johnson A, Rangan A, Spruijt-Metz D, Yang J, Hekler E. Perspective: A Framework for Addressing Dynamic Food Consumption Processes. Advances in Nutrition 2022;13(4):992 View
  7. Rantala E, Balatsas-Lekkas A, Sozer N, Pennanen K. Overview of objective measurement technologies for nutrition research, food-related consumer and marketing research. Trends in Food Science & Technology 2022;125:100 View
  8. Hiraguchi H, Perone P, Toet A, Camps G, Brouwer A. Technology to Automatically Record Eating Behavior in Real Life: A Systematic Review. Sensors 2023;23(18):7757 View
  9. Cliffe B, Gore-Rodney J, Linton M, Biddle L. Developing Suicide Prevention Tools in the Context of Digital Peer Support: Qualitative Analysis of a Workshop With Multidisciplinary Stakeholders. JMIR Formative Research 2023;7:e47178 View
  10. Lenoir-Wijnkoop I. Evidence-based public health interventions – current situation and challenges in respect to eating behaviour. Current Opinion in Epidemiology and Public Health 2022;1(2):34 View
  11. Goh C, Zheng K, Chua W, Nguyen T, Liu C, Koh C, Lee G, Tay C, Ooi B, Wong M. Development of a dental diet-tracking mobile app for improved caries-related dietary behaviours: Key features and pilot evaluation of quality. DIGITAL HEALTH 2024;10 View
  12. Zhu Y, Zhang R, Yin S, Sun Y, Womer F, Liu R, Zeng S, Zhang X, Wang F. Digital Dietary Behaviors in Individuals With Depression: Real-World Behavioral Observation. JMIR Public Health and Surveillance 2024;10:e47428 View

Books/Policy Documents

  1. Nagarajan B, Khatun R, Bolaños M, Aguilar E, Angelini L, El Kamali M, Mugellini E, Khaled O, Boqué N, Tarro L, Radeva P. Digital Health Technology for Better Aging. View
  2. Kubicki M, Ryan J, Shaw J, Depner C. Encyclopedia of Sleep and Circadian Rhythms. View