Intellectual Property India Publishes Patent Application for Deep Learning-Based Mobility Assessment System For Personalized Walking Aid Design And Fall Prevention

MUMBAI, India, Sept. 22 -- Intellectual Property India has published a patent application (202621093400 A) filed by Rk University on July 31, 2026, for Deep Learning-Based Mobility Assessment System For Personalized Walking Aid Design And Fall Prevention.

Inventors include Amit Lathigara; Nirav Bhatt; Paresh Tanna; Homera Durani; and Chhaya Patel.

The application for the patent was published on September 18, 2026, under issue no. 38/2026.

Abstract: Abstract DEEP LEARNING-BASED MOBILITY ASSESSMENT SYSTEM FOR PERSONALIZED WALKING AID DESIGN AND FALL PREVENTION A system for personalized walking-aid design from mobility data includes a Movement Capture Arrangement, a Pose Reconstruction Network, a Biomechanical Feature Engine, a Aid Design P...