Development of a Gesture Recognition System for Human-Computer Interaction

Thesis Abstract

This project focuses on the development of a gesture recognition system that enables natural and intuitive interaction between users and computing devices. The system will utilize computer vision techniques, deep learning algorithms, and real-time image processing to accurately detect and interpret hand gestures for controlling applications, games, and virtual environments. The project will explore different gesture recognition approaches, optimize model performance, and evaluate the system's usability and robustness in various scenarios.