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Stridalyzer Platform

The web platform behind the Stridalyzer smart-insole ecosystem — where sensor and video data become stress heat maps, gait-cycle metrics and clinical reports, across multiple brands and six languages.

Role
Browser pose detection + reporting
Platform
Web · JS client + PHP portal + Parse
Status
In production — multi-brand, six languages
Links
retisense.com

The platform

Stridalyzer is the long-running web home of the smart-insole product family: clinicians and coaches review runners' activities, see foot-stress heat maps across eight plantar zones, read gait-cycle metrics (ground contact time, strike pattern, overpronation), and export branded PDF/HTML reports.

What I built

  • Browser pose detection — the video gait-analysis pipeline running TensorFlow.js / MoveNet on the WebGL backend, bringing camera-based analysis into the platform with no install.
  • Reporting & platform engineering — clinical report generation (PDF/HTML), charting, and feature work across the portal, shipping against live clinical users.

The platform is a large team effort — the C++→WASM analytics engine and the Three.js insole builder are colleagues' work.

How the system works

  • Captureinsole sensors · uploaded video
  • CloudParse activity records + cloud code
  • AnalyseWASM biomechanics · TF.js pose
  • Visualiseheat maps, gait charts
  • Reportbranded PDF / HTML

Stack

JavaScriptTensorFlow.js / MoveNetWebGL Plotly / D3jsPDFPHPParse i18n × 6 languages