MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202621009478 A) filed by Sage University, Indore, Madhya Pradesh, on Jan. 30, for 'wearable fall prevention system and method for predicting and preventing falls.'
Inventor(s) include Ms. Sakshi Agrawal; Dr. Lalji Prasad; Mangla Sharma; and Varnika Upadhyay.
The application for the patent was published on March 13, under issue no. 11/2026.
According to the abstract released by the Intellectual Property India: "A wearable fall prevention system (102) comprises an inertial measurement unit sensor (104) with an accelerometer (116) and gyroscope (118), a photoplethysmography sensor (106), a communication interface (108), and a hardware processor (112). The hardware processor (112) acquires motion data and physiological data, analyzes them using a trained artificial neural network model (120) with a convolutional neural network and bidirectional long short-term memory network, and classifies motion state into normal activity, pre-fall instability, free-fall, and post-fall impact. The hardware processor (112) detects pre-fall conditions within 300 to 800 milliseconds before impact by corroborating motion patterns with heart rate variability changes, then generates multi-level alerts to a mobile device (114) comprising haptic warnings, caregiver notifications, and GPS-enabled emergency alerts."
Disclaimer: Curated by HT Syndication.
