Assessment of Food Intake Using Both 3D Scanning Method and a Photographic Method

Assessment of Calories in the Diets Using 3D Scanning and a Photographic Method

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.

Study Overview

Status

Recruiting

Conditions

Detailed Description

This study will provide food for the participants, and they will independently choose their preferred food for consumption according to their usual dietary habits. This study will take 3D scanning and photography of the food plates before and after eating to analyze the energy intake by each participant.

Study Type

Observational

Enrollment (Estimated)

200

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

    • Guangdong
      • Shenzhen, Guangdong, China
        • Recruiting
        • Shenzhen Institute of Advanced Technology
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult

Accepts Healthy Volunteers

Yes

Sampling Method

Non-Probability Sample

Study Population

Participants are healthy, with no metabolic disorder, 22 - 40 years old

Description

Inclusion Criteria:

Recently measured body mass index (BMI): normal control group (21.5 ≤ BMI < 25); Recently measured body mass index (BMI): healthy underweight group (15 < BMI ≤ 18.5); Must be able to choose the food as requested.

Exclusion Criteria:

Metabolic diseases; Recent weight loss due to various disease causes; Ongoing treatment for weight loss; Eating disorders; Pregnant or lactating women; Infectious diseases such as HIV, Hepatitis; Diabetes mellitus.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Control
21.5≤BMI<25, age between 25-40 years old, 100subjects.
Superlean
15<BMI≤18.5, age between 25-40 years old, 100 subjects.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
BMI of the volunteers
Time Frame: This study will take about 1 year and a half to finish, starting from May 1 2025 to Dec 31 2026.
The volunteers' BMI is chosen between normal and underweight for easy comparison.
This study will take about 1 year and a half to finish, starting from May 1 2025 to Dec 31 2026.
3D scanning of the foods chosen by volunteers using a Bodyscan3d smartphone application
Time Frame: This study will take about 1 year and a half to finish, starting from May 1 2025 to Dec 31 2026.
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.
This study will take about 1 year and a half to finish, starting from May 1 2025 to Dec 31 2026.
Weight and name of each food
Time Frame: This study will take about 1 year and a half to finish, starting from May 1 2025 to Dec 31 2026.
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.
This study will take about 1 year and a half to finish, starting from May 1 2025 to Dec 31 2026.
Calories of the food chosen by the volunteers will be evaluated using the Hava smartphone application
Time Frame: This study will take about 1 year and a half to finish, starting from May 1 2025 to Dec 31 2026.
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.
This study will take about 1 year and a half to finish, starting from May 1 2025 to Dec 31 2026.

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

January 31, 2026

Primary Completion (Estimated)

December 31, 2026

Study Completion (Estimated)

December 31, 2026

Study Registration Dates

First Submitted

April 3, 2025

First Submitted That Met QC Criteria

January 19, 2026

First Posted (Actual)

January 28, 2026

Study Record Updates

Last Update Posted (Actual)

January 28, 2026

Last Update Submitted That Met QC Criteria

January 19, 2026

Last Verified

January 1, 2026

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • SIAT-IRB-250215-H0960

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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