MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202611008935 A) filed by Swami Vivekananda Subharti University, Meerut, Uttar Pradesh, on Jan. 29, for 'a system, method, and wearable device for ai-based multi-dimensional employee well-being prediction and enhancement.'
Inventor(s) include Dr. Kiran Rani Panwar.
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: "The present invention discloses an AI-based system and method for multi-dimensional monitoring, prediction, and enhancement of employee well-being and work-life balance. The system integrates a wearable device equipped with physiological, behavioral, environmental, and digital-activity sensors, a secure communication interface, and an adaptive machine learning engine configured to analyze continuous multi-modal data streams. The engine pre-processes and extracts feature such as heart-rate-variability patterns, posture deviations, sedentary-time indicators, environmental discomfort levels, and digital workload metrics to classify employee well-being into states including normal, mild stress, elevated stress, acute stress, cognitive fatigue, emotional drift, and burnout-risk. Based on the predicted state, the system generates personalized interventions ranging from reassurance notifications to advisory guidance and critical escalations. The system further provides trend summaries, risk trajectories, and secure integration with enterprise well-being platforms. Through real-time monitoring and predictive AI models, the invention enables proactive well-being management, reduces burnout, and supports healthier, productivity-driven work environments."
Disclaimer: Curated by HT Syndication.
