MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641073625 A) filed by Dayananda Sagar College Of Engineering on June 13, 2026, for System And Method For Multimodal Stress Detection Using Physiological Signals And Facial Analytics During Interactive Digital Environments.
Inventors include Dr. Preethi P; P Ravi Kishore; and Dr. Gopal Das. C. M.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: The proposed model is an artificial intelligence based multimodal system and method for detecting and evaluating acute stress responses in individuals, particularly during interactive digital environments such as competitive gaming. The system integrates multiple data modalities, including physiological biomarkers, facial expression analytics, audio data while playing and cognitive performance indicators, to enable a comprehensive assessment of stress levels. Physiological data such as heart rate, heart rate variability (HRV), and blood pressure are acquired using wearable or medical-grade sensors, while biochemical stress indicators may include biomarkers associated with stress response. Concurrently, real-time facial expressions and audio clips are captured through imaging/audio devices and analyzed using machine learning algorithms to identify emotional states indicative of stress. Cognitive performance metrics, including reaction time and attention measures, are also evaluated before and after exposure to stress-inducing stimuli. The system employs AI models to fuse multimodal inputs and generate a stress index, which is further validated against HRV data, galvanic skin response (GSR), heart rate, blood pressure, salivary cortisol and psychometric stress scales. This method enables validation of AI-derived stress predictions against established medical standards and facilitates early identification of stress-related conditions in users. The invention addresses limitations of single-modality stress detection approaches by providing an integrated, objective, and real-time framework for stress screening. The proposed system is applicable for continuous monitoring, early intervention, and mental health assessment in young adults and other populations exposed to high-stress environments.
Disclaimer: Curated by HT Syndication.
