Literature DB >> 31742257

Adapting the eButton to the Abilities of Children for Diet Assessment.

A Beltran1, H Dadabhoy1, T A Chen1, C Lin1, W Jia2, J Baranowski1, G Yan3, M Sun2, T Baranowski1.   

Abstract

Entities:  

Year:  2016        PMID： 31742257      PMCID： PMC6859905     

Source DB:  PubMed          Journal:  Proc Meas Behav 2016 (2016)


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  21 in total

Review 1.  Issues in dietary intake assessment of children and adolescents.

Authors:  M B E Livingstone; P J Robson; J M W Wallace
Journal:  Br J Nutr       Date:  2004-10       Impact factor: 3.718

2.  Computerized collection and analysis of dietary intake information.

Authors:  D Feskanich; B H Sielaff; K Chong; I M Buzzard
Journal:  Comput Methods Programs Biomed       Date:  1989-09       Impact factor: 5.428

3.  An adaptive Hidden Markov model for activity recognition based on a wearable multi-sensor device.

Authors:  Zhen Li; Zhiqiang Wei; Yaofeng Yue; Hao Wang; Wenyan Jia; Lora E Burke; Thomas Baranowski; Mingui Sun
Journal:  J Med Syst       Date:  2015-03-19       Impact factor: 4.460

Review 4.  Image-assisted dietary assessment: a systematic review of the evidence.

Authors:  Luke Gemming; Jennifer Utter; Cliona Ni Mhurchu
Journal:  J Acad Nutr Diet       Date:  2014-11-11       Impact factor: 4.910

5.  An exploratory study on a chest-worn computer for evaluation of diet, physical activity and lifestyle.

Authors:  Mingui Sun; Lora E Burke; Thomas Baranowski; John D Fernstrom; Hong Zhang; Hsin-Chen Chen; Yicheng Bai; Yuecheng Li; Chengliu Li; Yaofeng Yue; Zhen Li; Jie Nie; Robert J Sclabassi; Zhi-Hong Mao; Wenyan Jia
Journal:  J Healthc Eng       Date:  2015       Impact factor: 2.682

Review 6.  Merging dietary assessment with the adolescent lifestyle.

Authors:  T E Schap; F Zhu; E J Delp; C J Boushey
Journal:  J Hum Nutr Diet       Date:  2013-03-13       Impact factor: 3.089

7.  Measurement of food volume based on single 2-D image without conventional camera calibration.

Authors:  Yaofeng Yue; Wenyan Jia; Mingui Sun
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2012

Review 8.  Measuring food intake with digital photography.

Authors:  C K Martin; T Nicklas; B Gunturk; J B Correa; H R Allen; C Champagne
Journal:  J Hum Nutr Diet       Date:  2013-07-15       Impact factor: 3.089

9.  Model-based measurement of food portion size for image-based dietary assessment using 3D/2D registration.

Authors:  Hsin-Chen Chen; Wenyan Jia; Yaofeng Yue; Zhaoxin Li; Yung-Nien Sun; John D Fernstrom; Mingui Sun
Journal:  Meas Sci Technol       Date:  2013-10       Impact factor: 2.046

10.  Need for technological innovation in dietary assessment.

Authors:  Frances E Thompson; Amy F Subar; Catherine M Loria; Jill L Reedy; Tom Baranowski
Journal:  J Am Diet Assoc       Date:  2010-01
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  8 in total

1.  Dietary Assessment with a Wearable Camera among Children: Feasibility and Intercoder Reliability.

Authors:  Alicia Beltran; Hafza Dadabhoy; Courtney Ryan; Ruchita Dholakia; Wenyan Jia; Janice Baranowski; Mingui Sun; Tom Baranowski
Journal:  J Acad Nutr Diet       Date:  2018-08-13       Impact factor: 4.910

2.  Automatic food detection in egocentric images using artificial intelligence technology.

Authors:  Wenyan Jia; Yuecheng Li; Ruowei Qu; Thomas Baranowski; Lora E Burke; Hong Zhang; Yicheng Bai; Juliet M Mancino; Guizhi Xu; Zhi-Hong Mao; Mingui Sun
Journal:  Public Health Nutr       Date:  2018-03-26       Impact factor: 4.022

3.  Using Wearable Cameras to Investigate Health-Related Daily Life Experiences: A Literature Review of Precautions and Risks in Empirical Studies.

Authors:  Laurel E Meyer; Lauren Porter; Meghan E Reilly; Caroline Johnson; Salman Safir; Shelly F Greenfield; Benjamin C Silverman; James I Hudson; Kristin N Javaras
Journal:  Res Ethics       Date:  2021-10-30

4.  Improvement of Methodology for Manual Energy Intake Estimation From Passive Capture Devices.

Authors:  Zhaoxing Pan; Dan Forjan; Tyson Marden; Jonathan Padia; Tonmoy Ghosh; Delwar Hossain; J Graham Thomas; Megan A McCrory; Edward Sazonov; Janine A Higgins
Journal:  Front Nutr       Date:  2022-06-22

5.  The Healthy Cooking Index: Nutrition Optimizing Home Food Preparation Practices across Multiple Data Collection Methods.

Authors:  Margaret Raber; Tom Baranowski; Karla Crawford; Shreela V Sharma; Vanessa Schick; Christine Markham; Wenyan Jia; Mingui Sun; Emily Steinman; Joya Chandra
Journal:  J Acad Nutr Diet       Date:  2020-04-09       Impact factor: 4.910

6.  Automated food intake tracking requires depth-refined semantic segmentation to rectify visual-volume discordance in long-term care homes.

Authors:  Kaylen J Pfisterer; Robert Amelard; Audrey G Chung; Braeden Syrnyk; Alexander MacLean; Heather H Keller; Alexander Wong
Journal:  Sci Rep       Date:  2022-01-07       Impact factor: 4.379

7.  A Novel Approach to Dining Bowl Reconstruction for Image-Based Food Volume Estimation.

Authors:  Wenyan Jia; Yiqiu Ren; Boyang Li; Britney Beatrice; Jingda Que; Shunxin Cao; Zekun Wu; Zhi-Hong Mao; Benny Lo; Alex K Anderson; Gary Frost; Megan A McCrory; Edward Sazonov; Matilda Steiner-Asiedu; Tom Baranowski; Lora E Burke; Mingui Sun
Journal:  Sensors (Basel)       Date:  2022-02-15       Impact factor: 3.576

8.  Home-Based Monitoring of Eating in Adolescents: A Pilot Study.

Authors:  Ghassan Idris; Claire Smith; Barbara Galland; Rachael Taylor; Christopher John Robertson; Mauro Farella
Journal:  Nutrients       Date:  2021-12-03       Impact factor: 5.717
  8 in total

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