MUMBAI, India, June 26 -- Intellectual Property India has published a patent application (202641072763 A) filed by Munganda Venkata Lakshmi; and Karthik G on June 11, 2026, for Ai-Based Multi-Sensor Child Distress And Cardiac Risk Detection System And Method Thereof.
Inventors include Munganda Venkata Lakshmi; and Karthik G.
The application for the patent was published on June 19, 2026, under issue no. 25/2026.
Abstract: A system and method for AI-based multi-sensor child distress and cardiac risk detection is disclosed. The invention comprises a wearable monitoring device including a physiological sensing module, motion sensing module, voice acquisition module, positioning module, processing module, and communication module. Physiological signals including heart-rate variability, heart rate, oxygen saturation, motion behavior, voice tremor characteristics, and location information are continuously acquired and processed. A multi-modal sensor fusion engine combines physiological, behavioral, motion, and contextual information to generate unified feature vectors. Artificial intelligence-based classification using anomaly detection, LSTM cardiac analysis, CNN voice analysis, and sensor fusion classification identifies conditions including normal state, illness, panic, cardiac abnormality, fall detection, theft risk, obesity/inactivity, high stress, safe arrival, and device tampering. Upon identification of emergency conditions, automated alerts and real-time location information are transmitted to authorized recipients. The invention improves child health monitoring, distress detection, emergency response, and safety protection through integrated wearable sensing and intelligent decision-making.
Disclaimer: Curated by HT Syndication.
