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Workshop on Innovative Technologies for Dietary Intakes Measurements


09:15-09:30Welcome - Benny Lo and Gary Frost - Imperial College London
09:30-11:10Session 1 - Validation and studies
Chair: Clare E Collins - University of Newcastle
09:30-09:50In-vitro and in-vivo validation of an instrumented infant feeding bottle
Edward Sazonov, Jessica Bahorski, Camille Schneider and Paula Chandler-Laney The University of Alabama
09:50-10:10Assessing eating behaviours with wrist-mounted motion tracking sensors: A systematic review
Hamid Heydarian, Marc Adam, Tracy Burrows, Clare Collins and Megan Rollo University of Newcastle
10:10-10:30Performance of the Automated Self-Administered 24-hour recall and an interviewer-administered 24-hour recall: can images assist?
Deborah A Kerr1, Janine L Wright1, Caitlin Schipp1, Clare E Collins2, Megan E Rollo2, Edward J Delp3, Fengqing Maggie Zhu3, Carol J Boushey4 and Satvinder S Dhaliwal1
1Curtin University, 2University of Newcastle, 3Purdue University, 4University of Hawaii Cancer Center
10:30-10:50Challenges in Collecting Pictorial Data and Identifying Foods in Dietary Assessment of Early Adolescents
Alex Anderson1, Rickelle Richards2, Glade Topham3, Jinan Banna4, Mary Cluskey5, Carolyn Gunther6, Nobuko Hongu7, Blake Jones8, Karina Lora9, Scottie Misner7, Lillie Monroe-Lord10, Marla Reicks11 and Siew Sun Wong Wong12
1University of Georgia, 2Brigham Young University, 3Kansas State University, 4University of Hawaii, 5Oregon State University, 6The Ohio State University, 7University of Arizona, 8Purdue University, 9University of Connecticut, 10District of Columbia Cooperative Extension, 11University of Minnesota, 12Oregon Cooperative Extension
10:50-11:10Evaluation of new technology-based tools for dietary intake assessment: An ILSI Europe Expert Group project
Alison Eldridge1, Janet Cade2, Mike Gibney3, Mirjana Gurinović4, Anne-Kathrin Illner5, Carmen Piernas-Sanchez6 and Jeanne de Vries7
1Nestlé Research Center, 2University of Leeds, 3University College Dublin, 4University of Belgrade, 5UniLaSalle, 6University of Oxford, 7Wageningen University
11:10-11:40Coffee break and posters
11:40-13:00Session 2 - Technological approaches
Chair: Megan Rollow - University of Newcastle
11:40-12:00Food Volume Estimation based on Deep Learning View Synthesis from a Single Depth Map
Po Wen Lo and Benny Lo
Imperial College London
12:00-12:20Image Based Dietary Assessment Using Deep Learning
Runyu Mao1, Shaobo Fang1, Sri Kalyan Yarlagadda1, Zeman Shao1, Deborah Kerr2, Carol Boushey3, Edward Delp1 and Fengqing Zhu1
1Purdue University, 2Curtin University, 3University of Hawaii Cancer Center
12:20-12:40Automatic Food Energy Estimation Based on Learned Energy Distribution Image
Shaobo Fang1, Zeman Shao1, Janine Wright2, Deborah Kerr2, Carol Boushey3, Edward Delp1 and Fengqing Zhu1
1Purdue University, 2Curtin University, 3University of Hawaii Cancer Center
12:40-13:00Extraneous Foods And Images On Serveware Cause Overestimation Of Energy Intake From Food Images
Tyson Marden1, Sayeed Doulah2, Megan McCrory3, Edward Sazonov2 and Janine Higgins1
1University of Colorado Anschutz Medical Campus, 2University of Alabama, 3Boston University
13:00-14:30Lunch and posters
14:30-15:30Session 3 - Dietary assessments techniques and methods
Char: Gary Frost - Imperial College London
14:30-14:50Development of a smartphone app for the collection of dietary intake data in low and lower-middle income countries: a case study in interdisciplinary co-design
Megan Rollo, Shamus Smith, Marc Adam, Josh Crompton, Connor Dodd, Janelle Windus, Clare Collins and Tracy Burrows
University of Newcastle
14:50-15:10A Simplified, Less Expensive Method To Estimate Energy Intake From Food Images
Archana Mande1, Tyson Marden1, Stephanie Jung1, Sayeed Doulah2, Megan McCrory3, Edward Sazonov2 and Janine Higgins1
1University of Colorado Anschutz Medical Campus, 2The University of Alabama, 3Boston University
15:10-15:30Dietary assessment with a wearable camera among children: Feasibility and inter-coder reliability
Tom Baranowski1 and Mingui Sun2
1Baylor college of Medicine, 2University of Pittsburgh
15:30-16:00Coffee break and posters
16:00-17:00Session 4 -New devices and approaches 
Chair: Benny Lo - Imperial College London
16:00-16:20A Novel Instrument for Rapid Measurement of Food Volume and Density
Ding Yuan1, Xiaohui Hu1, Wenyan Jia2, Zhi-Hong Mao2, Hong Zhang1 and Mingui Sun2
1Beihang University, 2University of Pittsburgh
16:20-16:40Associations of Dietary Carbohydrate Quality (CQ) with Daily Interstitial Glucose Patterns in Community-Dwelling Individuals: a Pilot Study
Megan A. McCrory1, Akua F. Amankwaah2 and Edward Sazonov3
1Boston University, 2California Baptist University, 3The University of Alabama
16:40-17:00Automatic Ingestion Monitor v2 (AIM-2) a device for detection of eating, passive capture of food images and energy intake estimation
Edward Sazonov1, Abul Doulah1, Janine Higgins2, Jason Parton1 and Megan McCrory3
1The University of Alabama, 2University of Colorado Boulder, 3Boston University
17:00-17:15Closing remarks - Guang-Zhong Yang - Imperial College London




Poster presentations:

Trained analyst approach to image-based nutrient analysis – comparison to known food weights from a controlled feeding study
Janine L Wright1, Caitlin Schipp1, Amelia Harray1, Carol J Boushey2, Edward J Delp3, Fengqing Maggie Zhu3, Satvinder S Dhaliwal1 and Deborah A Kerr1
1Curtin University, 2University of Hawaii Cancer Center, 3Purdue University
Communal eating: a missing piece in dietary assessment
Tracy Burrows, Marc Adam, Clare Collins and Megan Rollo University of Newcastle
Development, Optimisation and Validation of a Diet Quality and Mood Smartphone Monitoring Application (The My Food and Mood App) Claire Young1, Graham Bingell1, Adrienne O'Neill2, Frances Kay-Lambkin2, Michael Berk1, Sarah McNaughton1, and Felice Jacka1
1Deakin University, 2The University of Melbourne
Image-Based Food Categorization Using Deep Learning API and Secondary Classification
Wenyan Jia1, Haibin Yu2, Junyan Hu1, Zhi-Hong Mao1, Hong Zhang3 and Mingui Sun1
1University of Pittsburgh, 2Hangzhou Dianzi University, 3Beihang University
3-D Food Models in Nutrition Education for Extension Youth Development Jenissa Dawn Gordon, Alexandria Griner and Silvia Giraudo
University of Georgia
Feasibility, usability and validity of the Sun eButton to identify nutrition optimizing home cooking behaviors.
Margaret Raber1, Tom Baranowski2, Shreela Sharma1, Joya Chandra1, Mingui Sun3, Wenyan Jia3, Christine Markham4 and Vanessa Schick4
1University of Texas MD Anderson Cancer Center, 2Baylor College of Medicine, 3University of Pittsburgh, 4University of Texas School of Public Health
Multi-Food Identification With 360-Degree Camera and Deep Learning
Wenmo Ren, Po Wen Lo and Benny Lo
Imperial College London
Quantifying Dietary Intake Based on Cross-Modal Recipe Retrieval
Jianing Qiu, Frank P.-W. Lo, Wenmo Ren and Benny Lo
Imperial College London
Validation and further development of myfood24: an online 24-hour dietary assessment tool
Janet Cade
University of Leeds
Extended study on smartphone based dietary assessment without using a fiducial marker
Wenyan Jia1, Yifan Yang2, Tamara Bucher3, Zhi-Hong Mao1, Ding Yuan2, Hong Zhang2 and Mingui Sun1
1University of Pittsburgh, 2Beihang University, 3University of Newcastle
Examining the acceptability and usability of downloading the mobile food record to personal phones for intervention monitoring
Carol Boushey1, Kim Yonemori1, Chloe Panizza2, Loic Le Marchand1, Unhee Lim1, Edward Delp3, Fengqing Maggie Zhu3 and Deborah Kerr4
1University of Hawaii Cancer Center, 2University of Hawaii at Manoa, 3Purdue University, 4Curtin University


Submit your abtract via the following link:

Note: Your abstract should have 300 or less words

Abstract submission Deadline: May 30 2018

Click the following link to register to attend this workshop: (Registeration opens Jun 15 2018)


There are many options for accomodation near Imperial College in London, please check the following website for details:

The workshop will be hosted at Lecture Theatre 308, Huxley Building (Building 13 on the campus map), the South Kensington campus of Imperial College London

Direction details can be found via:

Huxely Building on Google map:,-0.1793727/@51.4987548,-0.1794342,20z/data=!4m2!4m1!3e0?hl=en-GB


Call for Abstracts

Imperial College London, South Kensington, London, United Kingdom

17 Sept 2018

One of the major barriers in nutritional science is the lack of reliable data on individual dietary intake, especially in Low and Middle Income Country (LMIC) settings. The current methods in dietary intake assessments are inaccurate, time-consuming and expensive. The recent advances in smartphone, camera, artificial intelligence and wearable sensor technologies have led to significant progresses in capturing eating episodes, recognising food items, and providing objective measurements of dietary intakes.

This first international workshop aims to bring together researchers and students from both engineering and nutritional science disciplines who are actively developing dietary monitoring systems or conducting nutritional studies to present and discuss the challenges and technological approaches to address the need of accurate dietary monitoring. The workshop is supported by Bill & Melinda Gates Foundation. The workshop will feature presentations of technical systems, evaluation methodologies and opinion statements.

Authors are invited to submit abstracts (max 300 words) for presentation at the workshop. All submissions must describe original research that is not published or currently under review elsewhere.  Areas of interest include, but are not limited to:

  • Novel methods for accurate assessment of dietary intake
  • Wearable cameras/sensors for dietary intake analysis
  • Computer vision techniques for food detection, segmentation and recognition
  • Food composition (nutrients, allergens) analysis
  • Smartphone technologies for food intake monitoring
  • 3D reconstruction for food consumption estimation
  • Food image and nutrient databases
  • Context aware sensing for eating behaviour analysis
  • Methods for determining diet-disease relationships
  • Population studies on diet and interventions
  • Approaches to create awareness of and reinforce individual eating behaviours
  • Strategies to encourage self-monitoring eating behaviours

Selected authors will be invited to submit an extended version of the abstract to the special issue on Advancement in Dietary Assessment and Self-Monitoring Using Technology of the journal Nutrients, or the frontiers journal Research topic: Quantitative and Technological Approaches to the Monitoring of Food Intake and Nutrition.

Key dates:

  • Submission: May 30, 2018
  • Author Notification: Jun 15 2018
  • Workshop: Sep 17 2018




  • Dr Benny Lo – Imperial College London
  • Prof Gary Frost – Imperial College London
  • Dr Megan Rollo – University of Newcastle – Australia
  • A/Prof Tracy Burrows – University of Newcastle – Australia

Programme Committee:

  • Prof Kathryn Maitland – Imperial College London, UK
  • Prof Mingui Sun – University of Pittsburgh, US
  • Dr. Wenyan Jia – University of Pittsburgh, US
  • Prof Edward Sazonov – University of Alabama, US
  • Dr Megan A. McCrory – Boston University, US
  • Dr Alex Kojo Anderson – University of Georgia, US 
  • Prof Thomas Baranowski – Baylor College of Medicine, US
  • Dr Janine A. Higgins – University of Colorado Denver, US
  • Dr Matilda Steiner-Asiedu, University of Ghana, Ghana
  • Dr Surapa Thiemjarus – National Electronics and Computer Technology Center, Thailand
  • Prof Clare Collins - University of Newcastle, Australia
  • Dr Marc Adam - University of Newcastle, Australia
  • Dr Shamus Smith - University of Newcastle, Australia


Please contact Dr. Benny Lo for any query (email: