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

Formative Evaluation of Digital Health Interventions (3538) Mobile Health (mhealth) (3717) Human Factors and Usability Case Studies (1093) mHealth for Data Collection and Research (1280) Prevention and Health Promotion (1513) Obesity and Nutrition as Public Health Problem (446) Imaging Informatics (348)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55342, first published .
A Deep Learning–Based Rotten Food Recognition App for Older Adults: Development and Usability Study

A Deep Learning–Based Rotten Food Recognition App for Older Adults: Development and Usability Study

A Deep Learning–Based Rotten Food Recognition App for Older Adults: Development and Usability Study

Authors of this article:

Minki Chun1 Author Orcid Image ;   Ha-Jin Yu1, 2 Author Orcid Image ;   Hyunggu Jung1, 2 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Kang Y, Li Y, Wang H, Guo J, Huang Z, Du J. The Use of Deep Learning in Primary Agricultural Products Freshness Assessment: A Systematic Review. Journal of Food Science 2025;90(9) View
  2. Huang H, Qin Y, Zhu J, Yang C, Lv T. Towards an inclusive technological society—a bibliometric analysis of research on technology acceptance among older adults (2011–2024). Universal Access in the Information Society 2026;25(2) View

Conference Proceedings

  1. Muthusamy M, Ramya R, Dhilip Balaji D, Vishnu Priya G, Kavitha A. 2025 5th International Conference on Mobile Networks and Wireless Communications (ICMNWC). Food Freshness and Expiry Detection using Deep Learning View