This project aims to develop a new and more accurate method to assess energy intake in the diet by collaborating with Astravis company in Switzerland, integrating image recognition and intelligent applications, to improve the accuracy of energy assessment in the food, and to explore the application in dietary research.The researchers will recruit 200 volunteers.
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Participants are healthy, with no metabolic disorder, 22 - 40 years old
Cohort
Cross-sectional
Not listed
BMI of the volunteers
The volunteers' BMI is chosen between normal and underweight for easy comparison.
3D scanning of the foods chosen by volunteers using a Bodyscan3d smartphone application
The volunteers will be asked to choose 5 out of 20 dishes in a buffet and 3D scanning of the foods chosen by volunteers will be taken using a Bodyscan3d application.
Weight and name of each food
The weight and name of the food selected by the volunteers will be systematically recorded using a digital electronic scale and food record form. This scale and food record form will be employed to ensure accurate measurements of each food item's mass that the volunteers consume throughout the study period and each food item they choose.
Calories of the food chosen by the volunteers will be evaluated using the Hava smartphone application
We use another Hava application to evaluate the calories of the food selected by the volunteers and compare with the calories we calculated, with the smaller the difference, the better the Hava assessment.
Click on the lead sponsor to view all of their trials.
