Automated Sensing of IADLs to Measure Daily Activity in Older Adults
Official title: Automated IADL Sensing to Refine Measurement of Older Adult Daily Activity
Run by University of Pittsburgh · NCT07585864 · Data updated 2026-11-12
This study tests whether wearables, computer vision, and eye tracking can recognize everyday tasks like cooking and cleaning and compare the results with occupational therapists’ ratings in older adults living at home.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 75 Years and up |
| Sex | Women only |
| Enrollment | 20 (estimated) |
| Sponsor | University of Pittsburgh Academic / other |
| Locations | 1 site (Pittsburgh, Pennsylvania) |
| Status | Recruiting |
| Started | July 30, 2026 |
| Main results expected | December 2026 |
| Study ends | June 2027 |
| Registry record updated | August 11, 2026 |
| Trial ID | NCT07585864 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Women aged 75 or older, living in the community, with normal cognition or mild cognitive impairment, able to consent and perform cooking and light cleaning tasks independently.
✕Probably not a fit
Individuals with dementia, significant functional impairment, or those unable to complete the required tasks may not benefit from this sensing approach.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study will use sensing technologies such as smartwatches, computer vision, and eye tracking to detect and score instrumental activities of daily living in naturalistic kitchen and cleaning tasks. Participants with normal cognition or mild cognitive impairment will perform structured tasks while data from sensors are collected and later compared with occupational therapists’ ratings. The goal is to see if automated sensing can reliably identify early declines in IADL performance that might signal the need for additional support. The study focuses on adults aged 75 and older, recruited from a research registry, to compare sensor-derived assessments with clinician assessments. No interventions are described; the emphasis is on measurement and detection.
Why it matters
Potential benefit: If successful, sensing technologies could provide earlier, objective insight into declines in daily functioning to guide timely interventions.
How similar studies have gone: Previous work has shown promise in using motion sensors and computer vision to assess daily activities, but application to IADL detection in older adults is still an emerging area.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: 1. Participant in University of Pittsburgh Pepper Center research registry 2. Age 75+ 3. Female 4. Residing in community 5. Meets criteria for normal cognition or mild cognitive impairment on telephone screening (Memory Impairment Screen \>= 5) 6. Daily, independent performance of cooking and light cleaning tasks Exclusion Criteria: 1. Inability to provide informed consent 2. Meets criteria for possible dementia (Memory Impairment Screen \<= 4) 3. Reports difficulty with activities of daily living (dressing, feeding oneself, using toilet, bathing) 4. Uses mobility assistance device for indoor ambulation 5. Medical conditions that may interfere with participation (e.g., severe untreated psychiatric disorders, unstable cardiovascular conditions, Parkinson's disease) 6. Current participation in other interventional studies or clinical trials.
Where it's running
-
University of Pittsburgh
Pittsburgh, Pennsylvania, United States Recruiting
Study contacts
- Principal investigator: Andrea L Rosso, PhD — University of Pittsburgh
- Study coordinator: Andrea L Rosso, PhD
- Email: alr143@pitt.edu
- Phone: 412-383-1066
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.