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Hand Tracking in Virtual Environment

Overview

This project demonstrates hand tracking in a virtual environment using OpenCV, Mediapipe, Unity, and Sockets. The goal is to create an interactive 3D model that allows real-time hand tracking and virtual object interaction.

Hand Tracking Example

Technologies Used

  • OpenCV: For computer vision tasks.
  • Mediapipe: For hand detection and tracking.
  • Unity: For creating the 3D environment and interactions.
  • Sockets (UDP): For communication between the Python hand tracking script and Unity.

Features

  • Real-time hand tracking using a webcam.
  • Interactive 3D hand model in Unity.
  • Basic cube objects for touch and manipulation in the virtual space.
  • Lines connecting hand points to visualize hand structure.

Installation

  1. Clone the repository:

    git clone https://github.com/adityaghode92/Hand-Tracking.git
cd Hand-Tracking

  2. Python Dependencies: Make sure you have the following libraries installed:

    pip install opencv-python cvzone

  3. Unity Setup:

    • Open the Unity project.
    • Ensure the UDPReceive and HandTracking scripts are properly attached to the GameObjects.
    • Set the port in the UDPReceive script to match the one used in the Python script (default: 5052).

  4. Run the Project:

    • Start the Python script to begin hand tracking.
    • Then, run the Unity project to visualize the hand tracking in the virtual environment.

Usage

  • Point your webcam at your hand to start tracking.
  • Interact with the cubes in the Unity environment using hand gestures.

Acknowledgments