MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202541133438 A) filed by Rajalakshmi Engineering College, Chennai, Tamil Nadu, on Dec. 30, 2025, for 'system and method for fall-risk-aware multi-stage alert scheduling in wearable elderly safety device.'
Inventor(s) include Dr. M. Thangamani; B. Dinesh; and V. Govarthan.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "A fall-risk-aware system for wearable elderly safety devices continuously estimates fall probability using on-device machine learning applied to inertial sensor data and environmental context (location, altitude, activity). The system outputs a continuous fall-risk score rather than a binary 465 alarm. When a potential fall is detected, it opens a short confirmation window to observe secondary signals such as impact patterns, immobility, pressure changes, or user feedback. Only when confidence increases does it escalate through multi-stage alerts. Alerts are dynamically routed to caregivers, contacts, or emergency services based on urgency, proximity, and response history. Privacy is preserved through federated learning, which keeps data on-device and shares model 470 updates. This approach cuts false positives by 80-90% while keeping response times under 60 seconds."
Disclaimer: Curated by HT Syndication.
