Publication Details

Abstract

GestureHub is an advanced gesture recognition system designed to revolutionize human-computer interaction by using artificial intelligence. Leveraging computer vision through OpenCV and hand tracking via MediaPipe, GestureHub captures real-time hand movements through a standard webcam and processes these gestures for recognition. By using TensorFlow to train a deep learning model, the system classifies various gestures like fists and palms, allowing users to interact with digital environments without the need for traditional input devices like keyboards or mouse.
This touchless interface enhances accessibility and usability in multiple fields, from gaming and virtual reality to assistive technologies for individuals with disabilities. GestureHub’s ability to learn and adapt to user patterns ensures a personalized interaction, making it versatile and responsive to user needs. Its open-source nature allows developers to add new gestures and expand its capabilities, positioning GestureHub as a highly adaptable solution in the growing field of AI-based interaction technologies.