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

Formative Evaluation of Digital Health Interventions (2498) Mobile Health (mhealth) (2987) Obesity and Nutrition as Public Health Problem (309) mHealth for Data Collection and Research (982) Prevention and Health Promotion (1015) Human Factors and Usability Case Studies (809) Imaging Informatics (202)

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 Tweetations Metrics

Minki Chun   1 , MS ;   Ha-Jin Yu   1, 2 , PhD ;   Hyunggu Jung   1, 2 , PhD

1 Department of Computer Science and Engineering, University of Seoul, Seoul, Republic of Korea

2 Department of Artificial Intelligence, University of Seoul, Seoul, Republic of Korea

Corresponding Author:

  • Hyunggu Jung, PhD
  • Department of Computer Science and Engineering
  • University of Seoul
  • Information and Technology Building
  • 163 Seoulsiripdae-ro, Dongdaemun-gu
  • Seoul, 02504
  • Republic of Korea
  • Phone: 82 2-6490-2455
  • Email: hjung@uos.ac.kr