MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641079378 A) filed by Bnm Institute Of Technology; Dr. Sunitha R; Pavithra H C; Abhilasha P Kumar; Dhone Sai Vaishnavi; Disha V Kumar; and Lakshmi G C on June 27, 2026, for Stress Monitoring And Detection Using A Wearable Device.
Inventors include Dr. Sunitha R; Pavithra H C; Abhilasha P Kumar; Dhone Sai Vaishnavi; Disha V Kumar; and Lakshmi G C.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: ABSTRACT Stress Monitoring and Detection using a Wearable Device The present disclosure relates to a wearable stress monitoring and detection system configured to continuously monitor physiological signals for real-time assessment of an individual's stress condition. The system integrates multiple physiological sensors, including a photoplethysmography (PPG) sensor, a galvanic skin response (GSR) sensor, and a skin temperature sensor, within a compact wrist-worn device. The acquired physiological signals are processed to derive heart rate variability (HRV) parameters and other stress-related features for accurate stress evaluation. The wearable device incorporates an embedded artificial intelligence engine configured to preprocess physiological data, remove motion artifacts, extract relevant features, and classify stress levels using a lightweight machine learning model deployed on an energy- efficient microcontroller. The system performs edge-based processing to reduce computational latency, minimize dependence on cloud connectivity, and enhance user privacy while enabling continuous stress monitoring during daily activities. Upon detection of elevated stress levels, the device generates immediate biofeedback through vibration alerts, visual LED indications, and wireless notifications transmitted to a companion mobile application. The mobile application provides real-time visualization of stress levels, historical trend analysis, personalized wellness recommendations, and optional cloud synchronization for long-term health monitoring. The modular architecture supports adaptive user-specific calibration, secure data management, and integration with future healthcare platforms. The disclosed invention provides a practical, lightweight, energy-efficient, and intelligent wearable solution for continuous stress monitoring, early stress detection, and proactive mental wellness management across healthcare, occupational, educational, and personal wellness applications.
Disclaimer: Curated by HT Syndication.
