ricardo15222024/gaze-track-analyzer

Gaze Tracking Data Analyzer

A simple ML model for analyzing gaze tracking data and providing attention/focus scores.

Features

• —📊 Analyzes CSV gaze tracking data
• —🎯 Calculates attention scores (1-100)
• —📈 Provides movement and stability metrics
• —🚀 REST API compatible
• —📱 Designed for mobile app integration

Usage

Web Interface

1. 1.Paste your CSV data in the text box
2. 2.Click Submit to get analysis results

API Usage

Send POST request to /api/predict:

curl -X POST \
  https://YOUR_USERNAME-gaze-tracking-analyzer.hf.space/api/predict \
  -H "Content-Type: application/json" \
  -d '{
    "data": ["elapsedTime(seconds),x,y\n0.000,100.50,200.30\n0.016,101.20,201.15\n"]
  }'

Expected CSV Format

elapsedTime(seconds),x,y
0.000,100.50,200.30
0.016,101.20,201.15
0.032,102.10,202.05
...

Analysis Metrics

• —Attention Score: Overall focus quality (1-100)
• —Duration: Total tracking time
• —Movement Patterns: Average and total eye movement
• —Stability: Consistency of gaze patterns
• —Coverage Area: Screen area covered by gaze

Score Interpretation

• —85-100: Excellent attention patterns
• —70-84: Good attention stability
• —55-69: Moderate attention focus
• —40-54: Needs attention improvement
• —1-39: Poor attention patterns

Integration

This model is designed to work with the GazeTrackApp iOS application for real-time gaze tracking analysis.