MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202611049491 A) filed by Swami Rama Himalayan University, Dehradun, Uttarakhand, on April 17, for 'ai-based multimodal device for real-time employee efficiency and cognitive load assessment.'
Inventor(s) include Princy Tyagi; and Swati Rawat.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an artificial intelligence-based multimodal system and method for real-time assessment of employee efficiency, cognitive load, and fatigue. The system is configured to collect multimodal data including facial expressions, voice characteristics, body posture, and employee interaction patterns such as typing behaviour and activity metrics. The collected data is processed locally using an edge AI processor to extract features indicative of attention, stress, engagement, and mental workload. The artificial intelligence-based analysis engine to analyse temporal patterns and perform predictive analysis to anticipate fatigue and cognitive overload before performance degradation occurs. The system generates composite indicators including an Employee Efficiency Index (EEI), Cognitive Load Score (CLS), and Fatigue and Burnout Risk Score (FBRS), and provides real-time adaptive feedback including break suggestions and task adjustments. The invention ensures privacy by processing data in volatile memory, automatically deleting raw data after feature extraction, and transmitting only anonymized summary information."
Disclaimer: Curated by HT Syndication.
