MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202631010906 A) filed by Professor Samiran Mondal, Santiniketan, West Bengal, on Feb. 2, for 'a system and a method to objectively classify yogasanas and determine their physiological mechanisms using multimodal biosensing and adaptive intelligence.'
Inventor(s) include Professor Samiran Mondal.
The application for the patent was published on Feb. 6, under issue no. 06/2026.
According to the abstract released by the Intellectual Property India: "The present disclosure relates to a system and a method for objective physiological classification and adaptive analysis of yogasanas. The system has multimodal biosensing units that can pick up physiological signals from a user during yogasana practice. These signals include neuromuscular activity, motion data, neural signals, autonomic response parameters, and breathing patterns. One or more processors process the signals that were received, find physiological features that are specific to the posture, and create physiological signatures that are specific to the yogasana. The system uses the generated signatures to group yogasanas by their underlying physiological mechanisms. It then gives real-time, adaptive guidance on how to do the poses and how to coordinate breathing. The method also allows for ongoing improvement of yogasana practice by using closed-loop feedback and storing physiological data for long-term study and therapeutic evaluation. The system and method described change yogasana practice from a subjective, observation-based activity into a measurable, repeatable, and mechanism-driven physiological process. This makes it possible for standardized use in healthcare, rehabilitation, wellness monitoring, and technology-assisted therapeutic applications."
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