Support Center
Get help with KineLab's biomechanical analysis platform and research workflows.
📧Contact Support
Contact: Filip Droszcz
Email: contact@kinelab.eu
Phone: +48 883 388 929
Response Time: We typically respond within 48 hours
When contacting us, please include:
- Your iOS version (Settings > General > About)
- Device model (e.g., iPhone 14 Pro)
- Description of the issue
- Steps you've already tried
🚀Getting Started
Video Import & Processing
KineLab processes video files to extract pose landmarks and biomechanical data for research analysis.
- Supported formats: MP4, MOV, and other standard video formats
- Video requirements: Clear view of subject, good lighting conditions
- Slow motion support: Automatic detection and proper frame rate handling
- Import process: Select video → Add metadata → Queue for processing
Understanding the Processing Queue
The queue system allows batch processing of multiple videos for efficient research workflows:
- Queued: Videos waiting to be processed
- Active: Currently being analyzed
- Completed: Ready for data export
- Failed: Processing encountered an error
📊Data & Research
33-Point Pose Landmark System
KineLab uses advanced AI pose detection to extract detailed biomechanical data:
Body Landmarks
Head, shoulders, elbows, wrists, hips, knees, ankles, and additional torso points for complete movement analysis.
3D Coordinates
X, Y, Z world coordinates for each landmark with depth information for spatial analysis.
Confidence Scores
Detection confidence values for each landmark to assess data quality and reliability.
Frame-by-Frame Data
Temporal resolution maintains all landmark positions throughout video duration for motion analysis.
CSV Export Format
Exported data includes:
- Frame timestamps and indices
- X, Y, Z coordinates for all 33 landmarks
- Confidence scores for each detection
- Subject metadata (ID, movement type, notes)
- Video information (filename, processing parameters)
🎯Test Modes Guide
Countermovement Jump (CMJ)
Automatic 5-phase detection with eccentric/concentric analysis:
- Weighing, Unweighting, Braking, Propulsion, Flight phases
- mRSI, jump height, impulse calculations
- Peak-anchored flight detection
Drop Jump & Single-Leg Drop Jump
Reactive strength index and contact time optimization:
- RSI = Jump Height / Reactive GCT
- Hybrid plateau + peak-anchored detection
- Bilateral comparison for asymmetry
Pogo Jump
Repeated rebound assessment with consistency metrics:
- Multiple rebound detection and analysis
- Mean RSI across all rebounds
- Consistency percentage calculation
Research Mode
Advanced tools for biomechanics research:
- Batch video processing with queue management
- Full 33-landmark export
- Custom metadata tagging
Free Analysis
Unlimited custom visualization:
- Create unlimited charts from any landmarks
- Video synchronization with timeline
- Advanced filtering and measurement tools
🔧Troubleshooting
Video Processing Issues
- Processing fails: Check video format, file size, and ensure clear subject visibility
- Poor landmark detection: Improve lighting, avoid background clutter, ensure full body visibility
- Slow processing: Large video files take longer; consider reducing resolution for faster processing
- Memory issues: Close other apps, restart the app, or process smaller video segments
Performance Optimization
- Process videos with optimal resolution (1080p recommended)
- Ensure device has sufficient storage space
- Process one video at a time for best performance
- Clear completed jobs periodically to free up memory
Data Quality Tips
- Record subjects against plain backgrounds when possible
- Maintain consistent lighting throughout recording
- Ensure full body visibility in frame
- Avoid loose clothing that obscures joint positions
- Use high-speed video (120fps or 240fps) for best accuracy