Gesture-Based Presentation Controller using Computer Vision
Blog post from Roboflow
Traditional presentation control methods often constrain presenters, but a novel system using computer vision offers a solution by enabling slide navigation through hand gestures. This project involves capturing hand gestures via a camera, utilizing Roboflow to process these visuals and translate them into commands that control slides. The process includes collecting and labeling gesture images, training a model to recognize gestures like "next" and "previous" using Roboflow's tools, and employing a Python script to integrate the model with presentation software. The system allows for real-time gesture detection that facilitates seamless slide transitions, providing presenters with greater freedom of movement. While the focus is on two basic gestures, the framework can be expanded to include additional functions, potentially transforming how users interact with technology in fields such as virtual reality, gaming, and accessibility tools for individuals with mobility challenges. This project not only enhances presentation dynamics but also explores the potential of gesture recognition in human-computer interaction, paving the way for innovative applications across various fields.