Smart-home sensors and AI to detect dementia-related daily activities
Official title: Remote Sensing for ADRD-Specific Activities Identification in Older Adults
Run by University of Missouri-Columbia · NCT07120347 · Data updated 2026-11-12
This project will try smart-home sensors and artificial intelligence to detect daily activities linked to mild cognitive impairment or early dementia in adults aged 50 and older who live at home.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 50 Years and up |
| Sex | All |
| Enrollment | 16 (estimated) |
| Sponsor | University of Missouri-Columbia Academic / other |
| Locations | 1 site (Columbia, Missouri) |
| Status | Recruiting |
| Started | August 1, 2024 |
| Main results expected | July 31, 2026 |
| Study ends | July 31, 2027 |
| Registry record updated | August 13, 2025 |
| Trial ID | NCT07120347 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates are English-speaking adults aged 50 or older, living at home, with a diagnosis of mild cognitive impairment or mild dementia confirmed by a neuropsychologist, neurologist, or geriatrician within the University of Missouri Healthcare System.
✕Probably not a fit
Patients with moderate or severe dementia (Clinical Dementia Rating > 1), or those with cognitive or functional impairments that prevent meaningful participation in daily activities, are unlikely to benefit from this protocol.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
The team will install a modular remote ambient sensor system in participants' homes and collect real-time data on movement, activity patterns, and environmental cues. AI-based data-analysis methods will be used to identify activities and patterns specific to Alzheimer disease and related dementias. Participants are community-dwelling, English-speaking adults aged 50 or older with a clinician-confirmed diagnosis of mild cognitive impairment or mild dementia from the University of Missouri system. The goal is earlier detection of functional change and to generate information that could support personalized in-home assistance.
Why it matters
Potential benefit: If successful, this approach could detect changes in daily function earlier and help tailor support so people with MCI or mild ADRD stay safer and more independent at home.
How similar studies have gone: Prior small-scale research using home sensors and AI has shown promising signals for monitoring activity changes, but broad real-world effectiveness and adoption among people with ADRD remain limited.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria * Community-dwelling, English-speaking adults aged ≥ 50 years * Clinical diagnosis of mild cognitive impairment or mild dementia (ADRD) * Diagnosis established by a neuropsychologist, neurologist, or geriatrician within the University of Missouri Healthcare System * Diagnosis confirmed using the latest consensus criteria and verified through record review * No restriction on the etiology of the cognitive disorder (e.g., Alzheimer's disease, vascular dementia, mixed dementia) Exclusion Criteria * Clinical Dementia Rating (CDR) global score \> 1 (moderate or severe dementia) * Cognitive or functional impairments that would preclude meaningful participation in daily activities
Where it's running
-
University of Missouri
Columbia, Missouri, United States Recruiting
Study contacts
- Study coordinator: Knoo Lee, PhD
- Email: knoolee@missouri.edu
- Phone: 5738840421
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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.