IoT-based Smart Screen Control Using Hand Gesture
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Rohit Kumar and Vishal Patel
School of Computer Application,
Lovely Professional University, Jalandhar
Panjab, Bharat
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Abstract: In today's dynamic educational environment, the demand for innovative tools to enhance teaching methodologies is paramount. This research paper proposes a novel IoT-based smart screen control system tailored explicitly for educational settings [10]. At its core lies hand gesture recognition technology, powered by the MediaPipe library, facilitating seamless real-time detection and tracking of hand gestures for intuitive presentation control. Integrating camera sensors and microcontrollers [14], the system ensures precise data transmission to computers interfacing with smart boards. An advanced algorithm synchronizes hand feed and movement flawlessly [14], offering users a glitch-free experience. The user-friendly interface empowers educators to customize settings and gestures, fostering personalized interactions. Furthermore, the system enables control over various types of presentations and slides, as well as zooming functionality within any opened interface [4]. Through a comprehensive literature review and implementation of state-of-the-art methodologies [12], this research revolutionizes human-computer interaction in educational environments. By adhering to stringent citation guidelines and considering the quality and relevance of references, this paper contributes to advancing knowledge in the field [1, 2, 4, 10, 12, 14]. The proposed system sets a new standard for efficiency and effectiveness in educational settings, promising to reshape the teaching landscape and inspire creativity in classrooms.
Key Words:
Media Pipe, IoT, camera sensors, microcontrollers, presentation control, customization, educational environments, human-computer interaction, OpenCV, Python.
