Data integrity
PLANNED INTEGRATIONTHE WEARABLE
DATA PIPELINE
The proposed architecture verifies every kilometre once and only once. Run the simulation to follow a sample activity from the wrist to the leaderboard.
Connected sources
WHOOPSTRAVAGARMINAPPLE HEALTHHEALTH CONNECTCLIENT-SELECTED DEVICE
1
Device activity
A 8.4 KM run is recorded on the athlete's watch.
2
Secure connection layer
Authorised provider connections exchange data over OAuth — WHOOP, Strava, Garmin, Apple Health, Health Connect and the client-selected device.
3
Activity + wellness ingestion
Activities and permitted wellness signals arrive from every connected source.
4
Normalisation engine
Distance, duration, pace, heart-rate metrics and GPS traces are normalised into one schema.
5
Duplicate detection
Time, distance and route are matched across all connected sources.
6
Activity verification
Plausibility checks on pace, elevation and timing anomalies before the activity is credited once.
7
Wellness / activity insight engine
Trends in consistency, volume, recovery signals and variety are derived.
8
Unified user activity profile
One verified profile per athlete, shared across every platform surface.
9
Movva Coach
Recommendations, goals, community suggestions, challenges and analytics are generated.
10
Leaderboard update
Community, city and challenge leaderboards recalculate.
Movva Coach outputs
Goals
AI layer
Activity recommendations
AI layer
Community recommendations
AI layer
Challenges
AI layer
Analytics
AI layer
Connected providers
WHOOP
Operational
Strava
Operational
Apple Health
Ready
Health Connect
Ready
Garmin Connect
Operational
Client-selected
Configurable
Illustrative prototype. Provider names indicate intended integrations; this demo is not connected to any live wearable service and all telemetry shown is simulated.
