NIH-funded research R01 grant

Using home video and AI to track babies' emotions and caregiver interactions

Official title: Validation of a Virtual Still Face Procedure and Deep Learning Algorithms to Assess Infant Emotion Regulation and Infant-Caregiver Interactions in the Wild

Funded at University of Illinois at Urbana-Champaign · NIH-11145933 · Data updated 2026-11-12

This project uses smartphone video, wearable sensors, and AI to measure how infants manage emotions and interact with caregivers in everyday home settings, with attention to babies at risk from prenatal substance exposure.

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Quick facts

Grant typeR01 grant
Study typeNIH-funded research
Funding institutionUniversity of Illinois at Urbana-Champaign
NIH-funded
Lab location1 site (Champaign, United States)
Project startSeptember 30, 2023
Project endJuly 31, 2028
Funding year2025
Award (this year)$537,827
NIH project number5R01DA059422-03
Project IDNIH-11145933 on NIH RePORTER

Who could benefit from this research

Could help

Caregivers (adults) with infants or young children (0–11 years), especially families with prenatal substance exposure or who have concerns about emotion regulation or caregiver–child interactions, are ideal candidates.

Less likely to help

Families without access to a smartphone or unwilling/unable to record home interactions, or people seeking immediate medical treatment for addiction rather than developmental monitoring, are unlikely to benefit directly from participation.

What this research studies

We will ask caregivers to record short home videos and use small wearable sensors while doing a brief, guided interaction with their infant that mirrors a 'still-face' task adapted for everyday life. Researchers will apply deep-learning computer models to the videos and sensor data to find moment-to-moment emotional reactions and interaction patterns. The plan is to make data collection easier for families and more reflective of real home life than brief lab visits. The goal is to create tools that could help spot early signs of emotion regulation or relationship difficulty without heavy clinic burdens.

Why it matters

Potential benefit: Could make it easier to detect babies who need extra support and connect families to early interventions sooner, especially after prenatal substance exposure.

How similar studies have gone: Lab-based 'still-face' tests and wearable-sensor studies have shown useful signals, but applying virtual tasks and deep-learning to natural home videos is a newer and less-tested approach.

Where this research is happening

  • University of Illinois at Urbana-Champaign
    Champaign, United States
    Active

Researchers

  • Principal investigator: Mcelwain, Nancy L — University of Illinois at Urbana-Champaign
  • Study coordinator: Mcelwain, Nancy L

Related research

Other NIH-funded projects on the same topics.

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.