Prashanth, Nayana and ., Prathapchandra (2025) AI Based Real-Time Air Gesture Recognition & Drawing System. International Journal of Innovative Science and Research Technology, 10 (7): 25jul230. pp. 719-725. ISSN 2456-2165
The AI Air Gesture Draw seeks to revolutionize human-computer interaction by removing the dependence on physical input devices. This cutting-edge system allows users to draw in mid-air using intuitive hand gestures, which are captured in real time by a standard webcam and interpreted through sophisticated deep learning models. Utilizing Google’s QuickDraw dataset and implemented with TensorFlow, the system is trained to accurately recognize a diverse array of hand-drawn patterns. By integrating computer vision and gesture recognition, it provides a seamless and touchless drawing experience. With significan t applications in education, accessibility, and digital design, this technology creates new opportunities for inclusive and intuitive interfaces, particularly aiding users with limited mobility or those in settings where touch-based input is unfeasible.
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