MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641043816 A) filed by KKR & KSR Institute of Technology and Sciences, Guntur, Andhra Pradesh, on April 6, for 'machine learning-based cognitive fatigue prediction system using behavioral interaction analytics.'
Inventor(s) include Mrs. Sanam. Nagendram; Mr. P. Mahesh Babu; Mr. Ch. Nagasai; Mr. V. Bhanu Prasad; and Mr. Y. Sai Srikar.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "Cognitive fatigue significantly impacts productivity, concentration, decision-making accuracy, and long-term mental well-being, particularly for individuals who spend extended hours working on computers. Traditional detection approaches depend on intrusive physiological monitoring devices or subjective self-assessments, both of which limit scalability and practical deployment. The proposed invention introduces a non-intrusive, privacy-preserving cognitive fatigue prediction system that analyzes behavioral interaction patterns such as typing frequency, mouse movement activity, click intensity, idle duration, and total screen engagement time. The system processes this interaction data locally using a machine learning- based prediction engine to generate a real-time fatigue score. Based on predefined fatigue levels, the system provides adaptive and actionable break recommendations. All computations are performed entirely on the local device without storing personal or sensitive content, ensuring maximum user privacy while maintaining high predictive accuracy."
Disclaimer: Curated by HT Syndication.
