MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641050658 A) filed by Meenakshi Academy Of Higher Education And Research, Chennai, Tamil Nadu, on April 21, for 'a system and method for mental health monitoring using behavioral data and ai-based risk prediction.'
Inventor(s) include Akila K; Sivayogana R; Kasthuri K; Leka H; Bennett Branson Benjamin; Melba Jesurani A; Ashika Fathima. B; Menmozhi T; Jebin Sherley; and Pugazhendhi S.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The current disclosure pertains to a system and method for mental health monitoring that utilizes multi-modal behavioral data, combined with edge-based cognitive signal extraction and adaptive risk prediction. The system includes a multi-modal data acquisition unit that gathers physiological and behavioral data from user interaction devices, wearable sensors, and environmental sources. A processor is set up to preprocess the data that was collected, find behavioral micro-signatures, and make personalized behavioral baselines using dynamic modeling with adaptive drift correction. The system also has a cognitive biomarker fusion engine that combines data from different sources and an adaptive risk prediction engine that uses thresholds that can be changed on the fly to calculate risk scores that take into account the situation. When risk levels rise, a hardware-linked intervention unit sets off physical response mechanisms like haptic, environmental, or audio alerts. The system also has secure data logging and communication modules that make sure alerts are sent out reliably. This makes it possible to monitor mental health in real time, continuously, and with better accuracy and responsiveness."
Disclaimer: Curated by HT Syndication.
