Sports academies
Every athlete baselined, every deviation visible.
For sports-academy environments, GaitAI can baseline every athlete with SportsMotion, adds WatchCare wearable trends for training-load context, and runs RehabTrack through injury-rehabilitation blocks.
The operational problem
Injury-risk screening and return-to-play review are inconsistent without measurable movement data.
Why current workflows fall short
Return-to-play and workload decisions made from short visual assessments and athlete self-report miss the asymmetries and fatigue-related changes that movement data makes visible.
Recommended GaitAI product mix
Athlete movement, asymmetry and fatigue — measured.
Analyzes walking and running mechanics to surface asymmetry, imbalance and fatigue-related change, supporting return-to-play review with longitudinal movement evidence.
Continuous movement intelligence from the wrist.
Combines smartwatch, mobile and wearable sensor data to estimate daily mobility and activity patterns, gait variability and longitudinal fall-risk indicators for clinician, caregiver or remote-care review.
Show objective movement change across recovery.
Compares movement across therapy sessions to make rehabilitation progress visible and motivating for both clinician and patient.
Example workflow
- 01Pre-season baseline for every athlete
- 02Periodic movement sessions during training
- 03Wearable trends monitor between sessions
- 04Injured athletes move into RehabTrack blocks
- 05Return-to-play summaries inform coach and physio decisions
Expected operational outputs
Performance movement analytics, injury-risk indicators and return-to-play progress.
Privacy & responsible use
Designed to support consent-based capture, encrypted transfer, configurable retention and role-based access, with activity logging and skeleton-only processing modes. Deployment requirements depend on the applicable environment, organization and jurisdiction. Privacy-aware architecture does not automatically mean anonymity: pose, gait and trajectories may still carry identifying information. GaitAI outputs are AI-generated movement metrics intended as decision support — they do not diagnose medical conditions and do not replace clinical judgement.