MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202611112645 A) filed by Swami Rama Himalayan University on September 19, 2026, for A System And Method For Real-Time Iot-Enabled Anxiety Detection From Facial Expression Analysis.
Inventors include Akanksha Ghildiyal; Amrita Rawat; Simran Negi; Kiran Bisht; Sanjeev Singh Rawat; and Ms. Shivani Pant.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: The invention relates to computer vision, affective computing, deep learning, and IoT-based mental health monitoring. Disclosed is a real-time system and computer- implemented method in which an input module 1 acquires facial images or image frames, a preprocessing module 2 normalizes and aligns the images, a face detection module 3 localizes the face, and a feature extraction module 4 derives landmark-based, appearance-based, and temporal anxiety-relevant features. A deep learning model module 5, including spatial and temporal learning, analyzes micro-expressions and involuntary cues to distinguish anxiety from fear, sadness, fatigue, and stress, and an anxiety prediction module 6 outputs severity and confidence. A decision stage 7 initiates an alert or support module 8A or a normal state display module 8B, while data storage and logging module 9 and IoT communication enable remote cloud monitoring, trend analysis, and secure intervention.
Disclaimer: Curated by HT Syndication.
