🏃 AI Sports Injury Risk Detection

An AI-powered Sports Injury Risk Detection system using Computer Vision, Pose Estimation, Biomechanics and Machine Learning.

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📌 Project Overview

This project aims to detect potential sports injuries before they occur by analyzing an athlete's body movements from video.

The system extracts body landmarks using Google's MediaPipe Pose Landmarker, calculates biomechanical joint angles, analyzes movement patterns, and predicts injury risk using machine learning.

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Features

• 🎥 Video Processing
• 🧍 Human Pose Estimation
• 📍 Landmark Extraction
• 📊 CSV Export of Body Keypoints
• 🦴 Skeleton Visualization
• 📐 Joint Angle Calculation
• 🦵 Knee Angle Tracking
• 🤖 Injury Risk Prediction (Upcoming)
• 📈 Dashboard Visualization (Upcoming)

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Tech Stack

• Python
• OpenCV
• MediaPipe Tasks API
• NumPy
• Pandas
• Scikit-Learn
• TensorFlow
• Git
• GitHub

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Project Structure

Sports-Injury-Risk-Detection
│
├── Milestone 1
│
├── Milestone 2
│   ├── backend
│   │
│   └── pose_estimation
│       ├── video_reader.py
│       ├── pose_detector.py
│       ├── landmark_extractor.py
│       ├── csv_exporter.py
│       ├── visualize_skeleton.py
│       ├── joint_angle_calculator.py
│       ├── calculate_knee_angles.py
│       └── angle_exporter.py
│
├── models
│
└── outputs

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Milestone Progress

✅ Milestone 1

Project setup

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✅ Milestone 2

Completed Pose Estimation Pipeline

✔ Video Reader

✔ Pose Detection

✔ Landmark Extraction

✔ CSV Export

✔ Skeleton Visualization

✔ Joint Angle Calculation

✔ Knee Angle CSV Export

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Milestone 3 (In Progress)

• Hip Angles
• Elbow Angles
• Shoulder Angles
• Biomechanical Features
• Gait Analysis

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📊 Current Results

Pose Detection Accuracy

• Frames Processed: 484
• Detection Rate: 100%

Landmark Extraction

• Total Landmarks: 15,972

Joint Angle Extraction

• Knee Angles exported for all frames.

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Future Work

• Injury Risk Prediction
• Deep Learning Models
• Athlete Dashboard
• Real-Time Webcam Detection
• Injury Alerts
• Performance Analytics

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Author

Rachit Patnaik

B.Tech Computer Science (Data Science)

ITER, SOA University

GitHub: https://github.com/Rachit-Patnaik

LinkedIn: https://linkedin.com/in/rachit-patnaik-87933a332

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