MUMBAI, India, Sept. 22 -- Intellectual Property India has published a patent application (202621093402 A) filed by Rk University on July 31, 2026, for Artificial Intelligence Framework For Real-Time Yoga Pose Recognition, Performance Evaluation, And Personalized Feedback.
Inventors include Amit Lathigara; Nirav Bhatt; Paresh Tanna; Chetan Shingadiya; and Chhaya Patel.
The application for the patent was published on September 18, 2026, under issue no. 38/2026.
Abstract: Abstract ARTIFICIAL INTELLIGENCE FRAMEWORK FOR REAL-TIME YOGA POSE RECOGNITION, PERFORMANCE EVALUATION, AND PERSONALIZED FEEDBACK A system for real-time yoga performance evaluation includes a Real-Time Pose Tracker, a Performance Metric Engine, a Personal Baseline Repository, a Feedback Prioritizer, and a Session Report Interface. The system receives live body landmarks, body-sway measurements, pose hold time, transition timing, session history, and a user mobility baseline. The acquired observations are checked for quality, source association, and timing before a model-ready representation is generated. The Personal Baseline Repository produces an analytical result and a confidence indication. The Feedback Prioritizer applies a stored response criterion and determines whether to release an output, request reacquisition, or require review. The Session Report Interface provides phase-specific performance scores and personalized feedback cues. The system particularly performs evaluating pose entry, hold, and exit phases relative to a user-specific baseline and prioritizing feedback for the largest deviation. An event record stores input identifiers, a processing version, the analytical result, and the delivered response to maintain traceability between acquisition, processing, and output. Fig. 1 Dated July 30, 2026 / Mungalpara Jigneshbhai Chhaganbhai IN/PA-2640 Agent for the Applicant
Disclaimer: Curated by HT Syndication.
