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Data CollectionNCT07371559

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

An observational study of Data Collection, run by Shenzhen Institutes of Advanced Technology ,Chinese Academy of Sciences at 1 site in China.

Recruiting

Looking for participants now. Contact the study team or a site below to ask about taking part.

Sites and contacts
Official record
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Trial summary

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… Read more about this study

Who is it for?
Ages 22 to 40 yearsHealthy volunteers can take part
Conditions the study is for
Data Collection
How many people
200 participants
Where
1 siteChina
Study dates
31 Jan 2026to 31 Dec 2026
Phase
Observational
Are there results?
Not yet: the study is under way

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages 22 to 40 years
  • All sexes
  • Healthy volunteers accepted
  • Adult

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

Who may be able to join

  • 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.

Who cannot join

  • 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.

Trial locations and contacts

1 site in 1 country. Contact the study team or a site near you to ask about taking part.

John Roger Speakman, PhD contact

15810868669

j.speakman@abdn.ac.uk

Ying Yu, PhD contact

18513508048

y.yu@siat.ac.cn

China1 site, 1 recruiting
  • Shenzhen Institute of Advanced Technology

    Shenzhen, Guangdong

    John Speakman, PhD, 13466654659, j.speakman@abdn.ac.uk

    Recruiting

Other trials in China

About this study

Official title: 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.

Read the 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.

Conditions
Data Collection
Keywords
food intake, food preference, food energy assessment
Medical subject headings
Food Preferences

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

Study groups in NCT07371559
Study groupRoleWhat they receive
Control21.5≤BMI<25, age between 25-40 years old, 100subjects.
Superlean15<BMI≤18.5, age between 25-40 years old, 100 subjects.

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. BMI of the volunteers

    The volunteers' BMI is chosen between normal and underweight for easy comparison.

    Measured: This study will take about 1 year and a half to finish, starting from May 1 2025 to Dec 31 2026.

  2. 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.

    Measured: This study will take about 1 year and a half to finish, starting from May 1 2025 to Dec 31 2026.

  3. 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.

    Measured: This study will take about 1 year and a half to finish, starting from May 1 2025 to Dec 31 2026.

  4. 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.

    Measured: This study will take about 1 year and a half to finish, starting from May 1 2025 to Dec 31 2026.

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted28 Jan 2026
  2. Study start31 Jan 2026 (estimated)
  3. Primary completion31 Dec 2026 (estimated)
  4. Study completion31 Dec 2026 (estimated)

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Observational
Observational model
Cohort
Time perspective
Cross-sectional
Enrolment
200 participants (estimated)
IDs, dates and publications
ClinicalTrials.gov ID
NCT07371559
Sponsor's protocol ID
SIAT-IRB-250215-H0960
Status last verified
Jan 2026
First submitted
3 Apr 2025
Last updated
28 Jan 2026
Results posted
No
Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
Individual data sharing
No

Questions about this trial

What is this clinical trial studying?

An observational study of Data Collection, run by Shenzhen Institutes of Advanced Technology ,Chinese Academy of Sciences at 1 site in China.

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 1 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: looking for participants now, as of the sponsor's last update on 28 Jan 2026. Status can change between updates, so confirm with the study contact before making plans.

Where is the study taking place?

The record lists 1 site in China. Whether a site is taking part right now should be confirmed with that site. See every site.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

This study is still under way. Results are not available in the source record yet.

How can a doctor refer a patient or contact the research team?

Contact John Roger Speakman, PhD (15810868669, j.speakman@abdn.ac.uk), or a site near the patient. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

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 study lists 4 primary outcomes in all. It is what the study was designed to measure, not a finding.

Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 28 Jan 2026.

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