Smart Refrigerator for healthcare using food image classification

Taein Kwon, Eunjeong Park, Hyukjae Chang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

In this paper, we propose a sensor-equipped food container, Smart Refrigerator, which discriminates foods and monitors their status. The system is composed of 1) sensor system for the detection of humidity, temperature, and the image information of food, 2) information server to perform machine learning-based classification of food images, and 3) user applications to monitor the refrigerator and to recommend appropriate meal pattern with recipes for healthy life. We demonstrated the performance in detection of food and suggested that automatic monitoring of food intake can provide intuitive feedback to users.

Original languageEnglish
Title of host publicationACM-BCB 2016 - 7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics
PublisherAssociation for Computing Machinery, Inc
Pages483-484
Number of pages2
ISBN (Electronic)9781450342254
DOIs
Publication statusPublished - 2016 Oct 2
Event7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, ACM-BCB 2016 - Seattle, United States
Duration: 2016 Oct 22016 Oct 5

Publication series

NameACM-BCB 2016 - 7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics

Other

Other7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, ACM-BCB 2016
CountryUnited States
CitySeattle
Period16/10/216/10/5

All Science Journal Classification (ASJC) codes

  • Software
  • Health Informatics
  • Biomedical Engineering
  • Computer Science Applications

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  • Cite this

    Kwon, T., Park, E., & Chang, H. (2016). Smart Refrigerator for healthcare using food image classification. In ACM-BCB 2016 - 7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (pp. 483-484). (ACM-BCB 2016 - 7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics). Association for Computing Machinery, Inc. https://doi.org/10.1145/2975167.2985644