OpenCV-enabled Gesture Control for Smart Devices: A User-Centric Approach

This research delves into the realm of human-computer-interaction, presenting an innovative user-centric approach togesture control for smart devices. Integrating the powerful OpenCV (Open-Source Computer Vision Library), our system demonstrates enhanced accuracy, responsiveness, and user satisfaction in real-world scenarios. The study includes a comprehensive evaluation of the system’s performance, addressing identified limitations, proposing improvement strategies, and exploring potential applications in emerging technologies. By analyzing a diverse dataset and employing a Convolutional Neural Network (CNN), our OpenCV-enabled gesture control system showcases its adaptability to varied gestures and environmental conditions. Future directions include addressing limitations, expanding application scopes, and integrating with emerging technologies, positioning this research at the forefront of advancements in gesture recognition technology.