Smart Refrigerator for healthcare using food image classification

Taein Kwon, Eunjeong Park, Hyuk-Jae Chang

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

4 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

Fingerprint

Image classification
Refrigerators
Delivery of Health Care
Food
Food Packaging
Humidity
Meals
Eating
Sensors
Temperature
Containers
Learning systems
Atmospheric humidity
Servers
Feedback
Monitoring

All Science Journal Classification (ASJC) codes

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

Cite this

Kwon, T., Park, E., & Chang, H-J. (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
Kwon, Taein ; Park, Eunjeong ; Chang, Hyuk-Jae. / Smart Refrigerator for healthcare using food image classification. ACM-BCB 2016 - 7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics. Association for Computing Machinery, Inc, 2016. pp. 483-484 (ACM-BCB 2016 - 7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics).
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Kwon, T, Park, E & Chang, H-J 2016, Smart Refrigerator for healthcare using food image classification. in ACM-BCB 2016 - 7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics. ACM-BCB 2016 - 7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, Association for Computing Machinery, Inc, pp. 483-484, 7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, ACM-BCB 2016, Seattle, United States, 16/10/2. https://doi.org/10.1145/2975167.2985644

Smart Refrigerator for healthcare using food image classification. / Kwon, Taein; Park, Eunjeong; Chang, Hyuk-Jae.

ACM-BCB 2016 - 7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics. Association for Computing Machinery, Inc, 2016. p. 483-484 (ACM-BCB 2016 - 7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics).

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

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AB - 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.

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M3 - Conference contribution

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