MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202611000747 A) filed by Ct University, Ludhiana, Punjab, on Jan. 5, for 'artificial intelligence-based system and method for identification and classification of dance forms and gharanas.'
Inventor(s) include Dr. Priyanka Nanda; Dr. Sandeep Ranjan; and Dr. Gagandeep Singh.
The application for the patent was published on Feb. 13, under issue no. 07/2026.
According to the abstract released by the Intellectual Property India: "The present invention is an artificial intelligence-based system and technique uses multimodal analysis to identify and classify dance forms and gharanas. Through the integration of computer vision-based movement tracking, skeletal motion analysis, acoustic rhythm evaluation, costume recognition, and cultural stylistic indicators, the system analyzes performance videos and audio. Deep learning models recognize unique patterns linked to Indian classical traditions' artistic gharanas as well as folk, modern, and classical dance styles. The invention combines visual, aural, and contextual data to produce probabilistic authenticity and classification scores, in contrast to current classification techniques that are restricted to single modalities. By offering explainable outputs, digital reports, and certificates appropriate for education, research, competitions, and digital platforms worldwide, the system facilitates training, evaluation, heritage preservation, and content authentication."
Disclaimer: Curated by HT Syndication.
