Hand Tracking and Motion Capture Integration

Overview

This repository contains a Python script that utilizes the cvzone library for hand tracking. The script captures hand landmarks in real-time through a webcam and sends the landmark data to Unity via a UDP socket connection. The integration with Unity facilitates motion capture, allowing for interactive applications and simulations.

Requirements

• Python 3.x
• OpenCV (cv2)
• cvzone library
• Unity (for motion capture integration)

Setup

1. Install the required Python libraries using the following command:

   pip install -r requirements.txt

2. Ensure that Unity is installed on your system.

Usage

1. Run the Python script using the following command:

   python hand_tracking_motion_capture.py

2. Open your Unity project and set up a UDP receiver to receive the hand landmark data.

3. As the script captures hand landmarks, it sends the data to the specified IP address and port (default: 127.0.0.1:5052). Ensure that the Unity application is listening on the same IP address and port for seamless integration.

Configuration

• You can modify the script to customize detection parameters, such as detection confidence (detectionCon) and the maximum number of hands (maxHands).
• Adjust the IP address and port in the serverAddressPort variable to match your Unity application's configuration.