Enhancing Presentation Dynamics with Real-time Hand Gesture Recognition: A Review

Consider conducting talks where the presenter uses only hand gestures no buttons or mouse to interact with the audience and control the slides. An in-depth discussion of enhancing presentation dynamics through real-time hand gesture recognition will be covered in this research paper. A presentation's importance in the digital age is underscored by the need to make it more dynamic and engaging. The paper investigates how real-time hand gesture recognition technologies might significantly improve the quality of presentations. In this paper, the instruments and techniques that people are now using are examined closely. Consider cameras like the Microsoft Kinect that can detect hand movements. These enable presenters to transition between slides seamlessly, emphasise key points, and engage with images or videos without uncomfortable pauses. Furthermore, they examine wearable technology with unique sensors that enable presenters to control their presentations without bulky equipment. Presenters now have greater freedom to engage with their audience thanks to wearables that use tiny sensors to interpret hand movements and convert them into actions. Not only that, but this study will go even more deeply into the scientific aspect. This paper will focus on advanced artificial intelligence-based computer programs and devices that can detect hand movements in real time. Teaching a computer to recognize when a user points, swipes, or waves their hand to interact with an audience is analogous to teaching it to do the same. When users combine verbal and hand movements, it gets incredibly lively. This article explores the possibilities of integrating spoken words and hand gestures to provide highly interactive presentations. With the help of this fusion, presenters can more easily convey their message by using their hands to give instructions or add explanations.