MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641068904 A) filed by Vellore Institute Of Technology on June 02, 2026, for A System And Method For Privacy-Preserving Burnout Risk Classification Using An Adaptive Rule Engine.
Inventors include Saurabh Agrawal; Deepika J; Sonali Panigrahi; Sharvil Bakshi; and Naitik Tripathi.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: The present disclosure proposes a system (100) and method for privacy-preserving burnout risk classification using an adaptive rule engine configured to process physiological signals and behavioral inputs through event-driven remote procedure call (RPC)-based processing and encrypted client-side execution for real-time burnout assessment without cloud-based data processing. The system (100) comprises a computing device (102), plurality of modules (108), a network (124), one or more physiological sensing devices (126), user devices (128), a user interface (128A), a local data repository (130), a security module (132), and a communication module (134). The system (100) performs burnout risk classification using dynamically updated feature-weight adaptation and adaptive threshold updating for maintaining runtime classification stability. The system (100) performs selective, event-driven computation based on detected deviation conditions to reduce unnecessary processing operations and computational overhead.
Disclaimer: Curated by HT Syndication.
