Egocentric Image Captioning for Privacy-Preserved Passive Dietary Intake Monitoring-Reference-Cited by-同舟云学术

Egocentric Image Captioning for Privacy-Preserved Passive Dietary Intake Monitoring

Published:2024-02 Issue:2 Volume:54 Page:679-692
ISSN:2168-2267
Container-title:IEEE Transactions on Cybernetics
language:
Short-container-title:IEEE Trans. Cybern.

Author:

Qiu Jianing¹^ORCID,Lo Frank P.-W.²^ORCID,Gu Xiao¹^ORCID,Jobarteh Modou L.³,Jia Wenyan⁴,Baranowski Tom⁵^ORCID,Steiner-Asiedu Matilda⁶,Anderson Alex K.⁷,McCrory Megan A.⁸^ORCID,Sazonov Edward⁹^ORCID,Sun Mingui⁴^ORCID,Frost Gary³,Lo Benny²^ORCID

Affiliation:

1. Department of Computing and the Hamlyn Centre, Imperial College London, London, U.K.

2. Department of Surgery and Cancer and the Hamlyn Centre, Imperial College London, London, U.K.

3. Department of Metabolism, Digestion and Reproduction, Section for Nutrition Research, Imperial College London, London, U.K.

4. Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, USA

5. Department of Pediatrics, USDA/ARS Children’s Nutrition Research Center, Baylor College of Medicine, Houston, TX, USA

6. Department of Nutrition and Food Science, University of Ghana, Accra, Ghana

7. Department of Foods and Nutrition, University of Georgia, Athens, GA, USA

8. Department of Health Sciences, Boston University, Boston, MA, USA

9. Department of Electrical and Computer Engineering, The University of Alabama, Tuscaloosa, AL, USA

Funder

Innovative Passive Dietary Monitoring Project

Bill & Melinda Gates Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Information Systems,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/6221036/10402573/10059226.pdf?arnumber=10059226

Reference98 articles.

1. Dietary assessment methods in epidemiologic studies

2. “Automatic Ingestion Monitor Version 2” – A Novel Wearable Device for Automatic Food Intake Detection and Passive Capture of Food Images

3. An Exploratory Study on a Chest-Worn Computer for Evaluation of Diet, Physical Activity and Lifestyle

4. Use of a Mobile Application for Self-Monitoring Dietary Intake: Feasibility Test and an Intervention Study

5. Relative Validity of the Eat and Track (EaT) Smartphone App for Collection of Dietary Intake Data in 18-to-30-Year Olds

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