MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641069461 A) filed by Sai Vidya Institute Of Technology on June 03, 2026, for Gesture Recognition Framework For Smart Sign Language Education.
Inventors include Thanuja M; Dr. Manjunath T N; Dr. Vrinda Shetty; Dr. Prasannalakshmi G S; Chandrashekara Lingaiah Nagaratna; Danish N; Darshan D; Eshugowda Cn; Darshan S; Navaneeta B; and Anitha V.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: The present invention relates to a Smart Sign Language Learning App, an artificial intelligence-powered educational platform designed to facilitate the learning and practice of Indian Sign Language (ISL) through real-time hand gesture recognition and interactive learning modules. The application utilizes computer vision, machine learning, and deep learning techniques to detect, analyze, and interpret hand gestures captured through a smartphone camera. The system provides instant feedback on gesture accuracy, enabling users to learn sign language effectively without requiring constant instructor supervision. The application includes structured learning modules covering alphabets, numbers, words, phrases, and conversational signs. A gesture recognition engine compares user-performed signs with predefined Indian Sign Language patterns and generates performance assessments, corrective suggestions, and progress reports. Gamification features such as quizzes, challenges, rewards, and achievement tracking enhance user engagement and learning outcomes. The system further supports multilingual text and voice assistance to make sign language education accessible to users from diverse linguistic backgrounds. By combining artificial intelligence with interactive learning methodologies, the invention promotes inclusive communication, improves accessibility for hearing-impaired communities, and provides an efficient digital platform for sign language education.
Disclaimer: Curated by HT Syndication.
