Clinical trial Recruiting at 1 site Interventional Ages 65 and up

AI-powered personalized exercise plan for older adults using a wearable app

Official title: Artificial Intelligence-based Personalized Exercise Prescription Through Mobile Health on Physical Activity and Health Outcomes in Older Adults: A Feasibility Study

Run by The University of Tennessee, Knoxville · NCT07768670 · Data updated 2026-11-12

A wearable-enabled, AI-driven exercise app is tested to see if it’s feasible and acceptable for adults 65+ and whether it can help increase activity, improve mood, and boost quality of life.

Quick facts

Study typeInterventional
Ages65 Years and up
SexAll
Enrollment20 (estimated)
SponsorThe University of Tennessee, Knoxville
Academic / other
Locations1 site (Knoxville, Tennessee)
StatusRecruiting
StartedOctober 1, 2026
Main results expectedDecember 20, 2026
Study endsDecember 31, 2026
Registry record updatedAugust 20, 2026
Trial IDNCT07768670 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Adults aged 65 and older who own a compatible smartphone, have internet access, can use a smartphone app, and can safely engage in physical activity.

Probably not a fit

Older adults who are unable to use smartphone technology, lack internet access, or cannot safely participate in physical activity may not benefit from this approach.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This feasibility study tests a mobile health solution that uses AI to tailor exercise prescriptions for older adults, delivered through a wearable device and fitness app. It evaluates feasibility, acceptability, appropriateness, and preliminary efficacy on physical activity, mental health, and quality of life. The study follows a stage 1b NIH framework, focusing on implementation processes, user engagement, and potential signals of benefit. Eligible participants are adults 65 and older who own a smartphone, have internet access, and can safely participate in physical activity. Outcomes will inform refinement of the AI-based intervention before larger trials.

Why it matters

Potential benefit: If successful, the approach could help more older adults increase activity and improve well-being through a personalized, technology-driven program.

How similar studies have gone: Previous studies have shown that mobile health and wearable interventions can increase activity levels, but AI-driven SDT- and BCT-based personalization in older adults is relatively novel.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

* Be aged 65 years or older.
* Own a smartphone (Android or iOS) compatible with study applications.
* Have reliable access to the internet or Wi-Fi.
* Demonstrate basic digital literacy sufficient to operate a smartphone (e.g., ability to open applications, navigate simple interfaces, and follow on-screen instructions), with or without initial guidance from the research staff.
* Be able to safely engage in physical activity, as determined by the Physical Activity Readiness Questionnaire for Everyone (PAR-Q+) or physician approval if indicated.
* Report engaging in less than 150 minutes of moderate-to-vigorous physical activity (MVPA) per week.
* Be able to communicate in English sufficiently to complete study procedures and assessments.

Exclusion Criteria:

* Are younger than 65 years of age.
* Do not own a compatible smartphone (Android or iOS) or do not have reliable internet/Wi-Fi access.
* Are deemed unable to safely participate in physical activity based on the screening process (including PAR-Q+, STEADI, and research staff assessment), or do not obtain required physician clearance when indicated.
* Currently meet or exceed 150 minutes of moderate-to-vigorous physical activity (MVPA) per week.
* Are unable to communicate in English sufficiently to understand study procedures, provide informed consent, or complete study-related assessments.
* Have any medical, physical, or cognitive condition that, in the judgment of the research team, would make participation unsafe or prevent completion of study procedures.

Where it's running

  • Kinesiology, Recreation, and Sport Studies (865) 974-3340 krss@utk.edu
    Knoxville, Tennessee, United States
    Recruiting

Study contacts

  • Principal investigator: Zan Gao, PhD — University Of Tennessee,knoxville
  • Study coordinator: John Oginni, MS
  • Email: pael@utk.edu
  • Phone: 8659747971

Similar studies

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How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
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.