Capabilities
Multi-modal by design
MoveLab combines camera-based assessment, phone sensor analysis and wearable activity context so clinicians can select the right tool for the clinical question.
Camera-based assessment
- Joint range of motion
- Repetitions
- Movement smoothness and consistency
- Timed-Up-and-Go (TUG)
- 30-second sit-to-stand
Trade-offs
Needs suitable camera positioning, lighting and field of view.
Phone sensor-based assessment
- Gait analysis
- Acceleration and orientation data
- Timed-Up-and-GoComing soon
- 30-second sit-to-standComing soon
Trade-offs
Depends on phone placement and task protocol.
Fitbit / Google Health activity context
- Step count
- General activity level
- Longitudinal trends
- Between-assessment context
Trade-offs
Supplementary contextual data, not a replacement for formal clinical assessment.
Comparison
Choosing the right method
A quick reference for which capture method best fits a given clinical question.
| Method | Best suited for | Data captured | Environment | Key trade-offs |
|---|---|---|---|---|
| Camera-based | Visual movement quality, joint ROM, TUG, sit-to-stand | Joint angles, repetitions, smoothness, TUG time, STS reps | Indoor with adequate lighting and FOV | Setup-sensitive; needs positioning |
| Phone sensor-based | Gait today; TUG and sit-to-stand coming soon | Acceleration, orientation, derived gait metrics | Indoor or outdoor; minimal setup | Protocol- and placement-sensitive |
| Wearable activity context | Long-term activity trends | Steps, activity bouts, longitudinal trends | Free-living, 24/7 | Supplementary; not formal assessment |
Get started
See how MoveLab could support your pathway
Book a clinical demo to explore how camera-based assessment, phone sensor analysis and wearable activity data could fit into your service, research project or partnership model.
Net Zero delivery on patient-owned devices — at around 1% the cost of a traditional in-person appointment.
