MUMBAI, India, Sept. 22 -- Intellectual Property India has published a patent application (202621093398 A) filed by Rk University on July 31, 2026, for Artificial Intelligence-Based Fall Risk Prediction System With Personalized Walking Aid Recommendation For Geriatric Individuals.
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-BASED FALL RISK PREDICTION SYSTEM WITH PERSONALIZED WALKING AID RECOMMENDATION FOR GERIATRIC INDIVIDUALS A system for geriatric mobility assessment and walking-aid selection includes a Mobility Assessment Unit, a Gait Feature Processor, a Fall-Risk Model, a Aid Compatibility Engine, and a Recommendation Interface. The system receives gait speed, stride variability, turning stability, balance-test data, sit-to-stand performance, and prior fall information. The acquired observations are checked for quality, source association, and timing before a model-ready representation is generated. The Fall-Risk Model produces an analytical result and a confidence indication. The Aid Compatibility Engine applies a stored response criterion and determines whether to release an output, request reacquisition, or require review. The Recommendation Interface provides a fall-risk score and a recommended walking-aid category with adjustment guidance. The system particularly performs mapping identified mobility deficits and a predicted fall-risk level to support and handling requirements of a walking aid. 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
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