Hand-Tracking

✋ Hand Tracking with MediaPipe (Python)

A real-time hand tracking system built using:

• 🎥 OpenCV (camera processing)
• 🖐 MediaPipe (hand landmark detection)
• 🧮 NumPy (math utilities)

This project detects hand landmarks from a webcam feed and enables gesture-based interaction like pinch detection and finger counting.

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🚀 Features

• Real-time webcam hand tracking
• 21 hand landmark detection
• Pinch detection (Thumb + Index)
• Finger counting logic
• Gesture recognition foundation
• Lightweight and fast

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🧠 How It Works

MediaPipe detects 21 3D hand landmarks per frame.

Example important landmarks:

• 0 → Wrist
• 4 → Thumb tip
• 8 → Index tip
• 12 → Middle tip
• 16 → Ring tip
• 20 → Pinky tip

Pinch detection is calculated using the distance between:

Thumb tip (4) and Index tip (8)

If the distance is small → pinch detected.

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🎮 Example Gestures

Gesture	Detection Logic
🤏 Pinch	Distance(4, 8) < threshold
✊ Fist	No fingers up
✋ Open Palm	4 fingers up
☝ Index Up	Landmark 8 above landmark 6

Finger up detection logic:

tip.y < pip.y

## Installations

pip install opencv-python mediapipe numpy