Open Access

Authors: Enachi Andrei, Turcu Corneliu, Culea George, Sghera Bogdan-Constantin, Ungureanu Andrei-Gabriel

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Abstract: By integrating real-time recognition systems into modern communication frameworks, it changes the way humans interact with technology in one way or another. This paper presents the development and design of an innovative gesture recognition solution using state-of-the-art technology in an intuitive, simple and efficient interface for communication. Using specialized equipment and software, but also taking into account recent discoveries and advances in artificial intelligence, the study aims to cover accessibility, human-computer interaction and redefining non-verbal communication for members of deaf-mute communities. From sign language to gesture-based device control, recognition systems have the potential to revolutionize industries such as medicine and even gaming. It also addresses the different challenges such a system faces in terms of accuracy, real-time image sequences processing, adaptation to various environmental conditions and solutions to overcome them by ensuring a balance between precision and functionality. Finally, recognizing gestures is an important step for the future, where communication is breaking through traditional communication to the point where gestures are the ones that speak more than words.

Keywords: hand gesture, OpenCV, MediaPipe, Tkinter, artificial intelligence, webcam, real-time, machine learning, data sets

Cite this paper

Enachi Andrei, Turcu Corneliu, Culea George, Sghera Bogdan-Constantin, Ungureanu Andrei-Gabriel. (2025) Communication Reimagined: Hands in Motion and the Future of Gesture Recognition Systems. International Journal of Computers, 10 , 14-22

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