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

Formative Evaluation of Digital Health Interventions (2226) Ecological Momentary Assessment (EMA) (297) Crowdsourcing and Mechanical Turks (91) Instruments and Questionnaires for Nutrition and Food Intake (159) Usability of Apps and User Perceptions of mHealth (902) Human Factors and Usability Case Studies (748) mHealth for Wellness, Behavior Change and Prevention (2754) Innovations and Technology for Healthy Eating Education (400) mHealth for Data Collection and Research (917) Obesity and Nutrition as Public Health Problem (281) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (792)

Published on in Vol 5, No 12 (2021): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27512, first published .
The Use of Food Images and Crowdsourcing to Capture Real-time Eating Behaviors: Acceptability and Usability Study

The Use of Food Images and Crowdsourcing to Capture Real-time Eating Behaviors: Acceptability and Usability Study

The Use of Food Images and Crowdsourcing to Capture Real-time Eating Behaviors: Acceptability and Usability Study

Authors of this article:

Katharine Harrington1 Author Orcid Image ;   Shannon N Zenk2, 3 Author Orcid Image ;   Linda Van Horn1 Author Orcid Image ;   Lauren Giurini4 Author Orcid Image ;   Nithya Mahakala1 Author Orcid Image ;   Kiarri N Kershaw1 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Journals

  1. Gan J, Zhang L, Chen H, Bai L, Zhang X, Yang L, Zhang Y. Underground Garage Patrol Based on Road Marking Recognition by Keras and Tensorflow. Applied Sciences 2023;13(4):2385 View
  2. Pala D, Petrini G, Bosoni P, Larizza C, Quaglini S, Lanzola G. Smartphone applications for nutrition Support: A systematic review of the target outcomes and main functionalities. International Journal of Medical Informatics 2024;184:105351 View