AI-Assisted Camera-Based Progressive Muscle Relaxation for Office Workers
Effectiveness of an AI-Assisted Camera-Based Progressive Muscle Relaxation Application in Office Workers: A Randomized Controlled Trial
Istanbul Medipol University Hospital
60 participants
Apr 8, 2026
INTERVENTIONAL
Conditions
Summary
This randomized controlled trial evaluates the effectiveness of an AI-assisted, camera-based progressive muscle relaxation application in office workers aged 20 to 40 years. Participants are randomly allocated to an intervention group or a control group. The intervention group completes a 4-week progressive muscle relaxation program using the PhysioTR Academic application, which provides camera-based real-time movement analysis and exercise guidance. The control group continues their usual daily routine and completes baseline and post-intervention assessments only. Outcomes include pain/tension intensity, musculoskeletal symptoms, perceived stress, neck disability, work productivity, functionality, and AI-based adherence metrics.
Eligibility
Inclusion Criteria6
- Aged between 20 and 40 years
- Actively working in a desk-based or office-based job
- Having access to a camera-enabled device such as a smartphone or computer
- Voluntary participation with informed consent
- Able to read and write Turkish
- Having a valid e-mail address
Exclusion Criteria8
- Previous surgery involving the neck or spine
- Cervical vertebral fracture or instability
- History of neurological disease such as multiple sclerosis or Parkinson's disease
- Vestibular system disorder
- Systemic inflammatory disease such as rheumatoid arthritis or ankylosing spondylitis
- History of malignancy
- Pregnancy
- Having received physiotherapy for the neck or back region within the last 6 months
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Interventions
A camera-based progressive muscle relaxation program delivered through the PhysioTR Academic web application. The intervention includes 4 weeks of training, 3 sessions per week, for a total of 12 sessions. The application provides written and/or audio instructions and uses camera-based real-time movement analysis to support exercise performance and adherence monitoring.
Locations(1)
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NCT07571967