Lab-Works

My works in ITU Soft Sensors Lab as an undergraduate intern

Angle Calculation with ArUco & Sign Language Recognition

This repository contains code for two main projects:

1. Angle Calculation using ArUco Markers - Detects and calculates angles using OpenCV and ArUco markers.
2. Sign Language Recognition with Smart Glove - Uses sensor data to classify sign language gestures with machine learning.

Features

• ArUco-Based Angle Calculation:
  • Detects ArUco markers in an image or video.
  • Computes the angle between markers for various applications.
• Sign Language Recognition:
  • Collects sensor data from a smart glove.
  • Trains and evaluates a machine learning model for gesture classification.
  • Includes various methods to preprocess the data.

Future Improvements

• Improve gesture classification accuracy.
• Enhance real-time processing speed.
• Develop a user-friendly interface.

Contributing

Feel free to submit pull requests or open issues for enhancements and bug fixes.

License

This project is licensed under the MIT License.