Gesture Real-Time Video Recognition with Integrated Text-To-Speech Synthesis for Inclusive Communication Environments
kumari P. Senthil, Dhivya Rathinasamy · 2025
This paper introduces an innovative real-time video gesture recognition system seamlessly integrated with text-to-speech synthesis, aiming to provide users with an immersive user experience. The system’s hybrid architecture excels at identifying complex patterns. Its adaptability makes it suitable for assistive technology, human-computer interaction, and immersive communication. Beyond recognizing gestures, the system converts extracted text into natural language, thus enhancing accessibility and enabling seamless communication. With its potential for diverse practical applications, our platform emerges as a valuable solution to meet users’ needs across various contexts.