Improving ‘carb counting’ with smartphone technologies
Evaluating the accuracy of the EatInSight App in determining carbohydrate amounts when compared to visual estimations by nutritionists and adults with type 1 diabetes.
Aim of the study:
The University of Melbourne have developed the EatInSight dietary app to automate the carb counting process using image recognition and smartphone scanning technologies. Before testing the EatInSight in diabetes management, researchers would like to compare its accuracy with visual estimations by adults with type 1 diabetes and experts in dietary assessment.
Participation involves:
- Completing an online food model assessment/quiz
- Completing a 3-day food record
- At the completion of the study, participants will receive a report detailing the results of the online food model assessment.
To take part in this study, you must:
- aged 18-70
- diagnosed > 12 months
- HbA1c < 10%
- insulin administration based on carbohydrate intake.
To assess your eligibility to participate, please visit: https://redcap.link/eatinsight
If you would like more information about the project, you can contact:
Project supervisors: Dr Robyn Larsen or Dr Chiara Murgia
Email: robyn.larsen@unimelb.edu.au or chiara.murgia@unimelb.edu.au
To read the project flyer, click here .
For read the Plain Language Statement for this project, click here.
This project has received human research ethics approval from The University of Melbourne (HREC ID#32213).