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

Design and Usability of Consumer Health Tech and Home Monitoring Devices (218)

Published on in Vol 6, No 2 (2019): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13017, first published .
Prototyping the Automated Food Imaging and Nutrient Intake Tracking System: Modified Participatory Iterative Design Sprint

Prototyping the Automated Food Imaging and Nutrient Intake Tracking System: Modified Participatory Iterative Design Sprint

Prototyping the Automated Food Imaging and Nutrient Intake Tracking System: Modified Participatory Iterative Design Sprint

Authors of this article:

Kaylen J Pfisterer1, 2 Author Orcid Image ;   Jennifer Boger1, 2 Author Orcid Image ;   Alexander Wong1, 2 Author Orcid Image
Article Authors Cited by (9) Tweetations Metrics

Journals

  1. Jake-Schoffman D, McVay M. Using the Design Sprint process to enhance and accelerate behavioral medicine progress: a case study and guidance. Translational Behavioral Medicine 2021;11(5):1099 View
  2. Terlouw G, Kuipers D, Veldmeijer L, van 't Veer J, Prins J, Pierie J. Boundary Objects as Dialogical Learning Accelerators for Social Change in Design for Health: Systematic Review. JMIR Human Factors 2022;9(1):e31167 View
  3. Pfisterer K, Amelard R, Chung A, Syrnyk B, MacLean A, Keller H, Wong A. Automated food intake tracking requires depth-refined semantic segmentation to rectify visual-volume discordance in long-term care homes. Scientific Reports 2022;12(1) View
  4. Salim H, Lee P, Sharif-Ghazali S, Cheong A, Wong J, Young I, Pinnock H. Developing an Asthma Self-management Intervention Through a Web-Based Design Workshop for People With Limited Health Literacy: User-Centered Design Approach. Journal of Medical Internet Research 2021;23(9):e26434 View
  5. Pfisterer K, Amelard R, Boger J, Keller H, Chung A, Wong A. Enhancing Food Intake Tracking in Long-term Care With Automated Food Imaging and Nutrient Intake Tracking (AFINI-T) Technology: Validation and Feasibility Assessment. JMIR Aging 2022;5(4):e37590 View
  6. Listyalina L, Mayasari K, Yudianingsih Y. Analisis Perancangan Digital Nutrition Scale Berbasis Sensor Load Cell. AVITEC 2023;5(2) View
  7. Benmessaoud C, Pfisterer K, De Leon A, Saragadam A, El-Dassouki N, Young K, Lohani R, Xiong T, Pham Q. Design of a Dyadic Digital Health Module for Chronic Disease Shared Care: Development Study. JMIR Human Factors 2023;10:e45035 View
  8. Ferguson C, Tatucu-Babet O, Amon J, Chapple L, Malacria L, Myint Htoo I, Hodgson C, Ridley E. Dietary assessment methods for measurement of oral intake in acute care and critically ill hospitalised patients: a scoping review. Nutrition Research Reviews 2023:1 View