MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202611056207 A) filed by Greater Noida Institute Of Technology Engineering Institute on May 03, 2026, for Gesture Ai-Sign Language Recognition Using Machine Learning.
Inventors include Mr. Nitin; Dr. Shiv Kant; Dr. Navin Prakash; Zishan Jawed; Yash Tiwari; Suaib Alam; Stuti Rai; Shivani Singh; Sonam Kumari; Nitish Kumar; Richa Aman; and Vaibhav Singh.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: The present invention relates to a system and method for real-time recognition and translation of sign language gestures using a camera-based input and advanced sequence modeling techniques. The system captures gesture data, preprocesses visual frames, and extracts spatial and temporal features representing hand movements. The extracted features are processed using a Transformer-based architecture capable of modeling long-range dependencies across gesture sequences. The system generates textual representations of recognized gestures and converts them into speech for real-time communication. The invention operates without the need for wearable devices and supports continuous gesture recognition, improving usability and accessibility. The system provides a scalable and efficient solution for assistive communication and human-computer interaction.
Disclaimer: Curated by HT Syndication.
