dynalytix

Movement is data. Patterns are prevention.

Dynalytix uses pose estimation and machine learning to analyze your climbing movement, helping you understand your body and prevent injuries before they happen.

Try the Data Collection Tool

Upload your climbing videos and contribute to the dataset

Who Is This For?

🧗‍♀️

Athletes

Athletes seeking to understand their movement patterns, identify inefficiencies, and optimize their climbing performance through data-driven insights.

🏥

Physical Therapists

Healthcare professionals who need objective movement data to improve injury prevention and rehabilitation programs for climbing athletes.

🔬

Researchers

Researchers studying climbing biomechanics who need access to high-quality, labeled movement data for advancing sports science.

What We Track

Every frame analyzed for biomechanical insights

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12 Joint Angles

Real-time tracking of shoulder, elbow, hip, and knee positioning throughout your climb

Velocity Vectors

Detailed motion analysis including speed and acceleration patterns across movement phases

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Sensation Labels

Self-reported feelings of pump, fatigue, and confidence to correlate with biomechanics

How It Works

From generic knowledge to personalized insights

Base Model

Trained on many climbers

Generic Guidelines

General movement principles

You Upload Videos

Your climbing sessions

Personal Model

Learns YOUR body, YOUR style

Data Pipeline

StageProcessOutput
Video UploadPose estimation analysisJoint coordinates & angles
Motion AnalysisVelocity & acceleration calculationMovement vectors
Pattern RecognitionML model identificationPersonalized insights

Roadmap

1

Phase 1: MVP (Current)

Basic pose estimation and data collection platform

2

Phase 2: Personalization

Individual movement pattern analysis and custom recommendations

3

Phase 3: Predictive Analytics

Injury risk assessment and prevention strategies

Why Contribute?

For You

Available now:

  • Detailed pose data export (40+ data points per frame)
  • Skeleton overlay visualization
  • Frame-by-frame movement review

Coming soon:

  • Personalized ML-powered movement insights
  • Injury risk detection
  • Technique recommendations

For The Community

  • Advance climbing biomechanics research
  • Improve injury prevention methods
  • Help develop better training protocols
  • All collected data syncs to an open GitHub repository (dynalytix-data) — accessible to researchers and the climbing community

Join The Beta

Be among the first to experience personalized climbing movement analysis. Help us change how climbers train.