MUMBAI, India, July 11 -- Intellectual Property India has published a patent application (202511061425 A) filed by Anurag Mishra; Nishu Gupta; Mani Dwivedi; Anuj Kumar Dwivedi; Sherish Johri; Dr. Saroj Bala; and Lucknesh Kumar, Ghaziabad, Uttar Pradesh, on June 27, for 'system and method for ai-based real-time yoga pose recognition and feedback using pose estimation and machine learning models.'
Inventor(s) include Nishu Gupta; Mani Dwivedi; Anuj Kumar Dwivedi; Sherish Johri; Dr. Saroj Bala; Lucknesh Kumar; and Dr. Anurag Mishra.
The application for the patent was published on July 11, under issue no. 28/2025.
According to the abstract released by the Intellectual Property India: "This invention relates to an AI-powered system for real-time yoga pose recognition and feedback. The system integrates pose estimation algorithms and machine learning models to detect and classify yoga poses from images or video input. By analyzing skeletal keypoints and extracting spatial features, the system evaluates posture alignment against a reference dataset. Users receive real-time feedback through audio and visual prompts, enhancing learning and ensuring accurate pose execution. The solution is deployable via a web or mobile interface and is particularly useful for solo practitioners and remote instructors. This innovation promotes safe and effective yoga practice by combining computer vision, deep learning, and interactive feedback mechanisms."
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