Smartwatch System for Eating Detection in Children
This study is testing a new smartwatch system to see how well it can automatically detect when children and parents are eating or drinking. It's an observational study, meaning researchers will watch and record what happens without giving any treatments. They want to see if the smartwatch accurately identifies eating events in a lab setting and if it's practical to use at home for three days. The study is looking for 35 child-parent pairs where the child is between 8 and 12 years old. Success for this study means the smartwatch system is accurate and easy to use. The current recruitment status is unclear.
- Study design
- This is an observational study involving 35 child-parent pairs. It does not involve different treatment groups or blinding.
- What's involved
- You and your child will wear a smartwatch on your dominant hand during a lab session and for three days at home. In the lab, you'll do eating and non-eating activities.
- Compensation
- Not stated in the trial record.
- Follow-up
- Participants will be followed during the controlled laboratory session (Day 1) and for three days during the free-living phase (Days 2-4).
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Evaluating the Validity and Feasibility of a Smartwatch-based Eating Detection System to Passively and Automatically Detect Eating Events in Child-parent Dyads
At a glance
Conditions
Where it's being run
1 sites across 1 statesStudy leadership
- Hanim E Diktas, PhD · PRINCIPAL_INVESTIGATOR · Pennington Biomedical Research Center
Who to contact
Opens a ready-to-send draft in your own email app — review before sending.
Do you actually qualify for this trial?
Add a private profile and we'll compare every criterion below against your situation — and tell you which ones are met, uncertain, or excluding.
Inclusion
Exclusion
What this trial measures
- Accuracy and Performance of Smartwatch-based Eating Detection System in Controlled ConditionsDuring the controlled laboratory session (Day 1).
Accuracy and performance of smartwatch-based system for detecting eating and drinking events compared to video-coded ground truth during a controlled laboratory conditions. Metrics include: Precision (proportion of correctly detected eating events among all detected events), Recall/Sensitivity (proportion of actual eating events detected), Specificity (proportion of non-eating events correctly identified as non-eating) F1-score (harmonic mean of precision and recall), Overall accuracy (proportion of correct classification).
- Adherence to Smartwatch ProtocolDuring the free-living phase (Days 2-4).
Proportion of families meeting adherence criteria, defined as both parent and child wearing the smartwatch during eating on at least 2 of 3 days and the parent responding to ≥75% of EMA prompts related to smartwatch charging and app functionality.