Year: 2025
Type: article
Abstract: This paper introduces a gesture-based control system designed to empower users to seamlessly manage presentations and multimedia applications through intuitive hand gestures. By integrating robust computer vision techniques capable of realtime gesture detection, this approach enables users to execute essential actions, such as slide transitions and media playback, using simple hand movements captured by a standard webcam. The system employs hand tracking and gesture recognition modules that identify specific gestures mapped to commands in both Presentation and Multimedia modes, providing flexibility and ease of control without the need for physical interaction. This solution is compatible with existing presentation and multimedia tools, offering users a cohesive, hands-free experience. To maximize usability and performance, the system follows established software engineering practices, ensuring a streamlined interface and an efficient, maintainable code structure. This paper provides a comprehensive overview of the design, implementation, and potential applications of this gesture-controlled system, underscoring its effectiveness in enhancing accessibility and user experience across a range of digital interaction contexts.
Author: Koustub Singh
Language: English
Subfield: Human-Computer Interaction
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4409292628