Presentation and Multimedia Control Using Hand Gestures

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.

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Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-04-09
DOI
https://doi.org/10.22214/ijraset.2025.68449
Primary Topic
Subtitles and Audiovisual Media
Type
article
Field-Weighted Citation Impact
0.00
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article

Presentation and Multimedia Control Using Hand Gestures

Karam B. Singh
International Journal for Research in Applied Science and Engineering Technology
Subtitles and Audiovisual Media
article

Presentation and Multimedia Control Using Hand Gestures

Karam B. Singh
article en

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.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(4)
Maharaja Engineering College (IN)
Openalex Percentile: Top 91%
Subtitles and Audiovisual Media
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