Gait quality analysis
Convert walking cycles into interpretable summaries for cadence, symmetry, stability and overall gait quality.
Medical Motion Analytics
GaitAI Medical / GaitFall
Measure Mobility. Predict Risk. Support Recovery.
Clinical-grade insights for gait, mobility, recovery, and fall-risk screening.
The product translates walking patterns into interpretable signals for clinicians, therapists and care teams who need understandable gait intelligence with clinically meaningful outputs.
Gait score
Fall-risk analytics
Rehab progress
Patient summaries
Real medical asset
Medical / gait-fall preview with gait capture video and pose overlay.
Clinician-facing signals
Interpret gait, stability and progression.
- Mobility score and gait quality summary
- Asymmetry, cadence and stability markers
- Fall-risk prioritization
- Session-to-session progress tracking
Product capabilities
Built for clinical and care-focused workflows.
GaitAI translates walking patterns into interpretable signals for rehabilitation centres, elder-care programs, and clinical mobility assessment.
Fall-risk screening
Highlight elevated-risk cases using motion irregularity, instability cues and trend-based deterioration indicators.
Recovery tracking
Compare time-separated sessions to understand whether rehabilitation is improving mobility outcomes.
Pose overlay on a captured gait frame. Communicates how mobility and gait-cycle structure can be visualised for medical analytics.
Pose intelligence
Real pose overlays to explain the medical analytics layer.
This view presents a frame that better reflects how gait information can be visualised for clinicians, researchers and product buyers.
- Frame-level structural representation
- Supports explainability in the medical narrative
- Useful for rehabilitation products and patient review summaries
Captured gait sampleMedical productOverlay view
Analytics dashboard
Premium clinical dashboard interface.
Gait capture, pose overlays, mobility scores, and longitudinal trends support care teams with structured motion insight.
Medical / GaitFall Analytics Console
Research-led product storyReal medical / gait-fall video
Mobility improvement trend
Clinical review queue
Patient AHigh
Elevated fall-risk due to asymmetry and reduced stability
Patient CMedium
Cadence remains low though rehab trajectory is improving
Patient DLow
Stable gait profile over the last three monitored sessions
Patient BMedium
Review recommended for stride variability and recovery pacing
Use cases
Clear medical / care deployment narratives.
Care teams can use gait intelligence to understand mobility, prioritise risk, and monitor recovery over time.
Rehabilitation monitoring
Track patient progress over time using interpretable gait and mobility indicators across multiple review sessions.
Elder-care fall-risk screening
Prioritise individuals who show gait instability, asymmetry or decline indicative of higher fall risk.
Clinical mobility assessment
Provide structured walking summaries to support assessments, interventions and longitudinal comparison.
Remote follow-up workflows
Use captured video and analytics summaries to support follow-up outside the clinic when needed.