MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202621056821 A) filed by Jayesh Surana; Samuel Babu Koppula; Sonal Saxena; Dr. Moniza Ray S. P; P. Raja Sekhar; Deepika Dubey; Ms. Pratima H. Khose; Dr. Ramesh Pettela; Nishu Sharma; Mrs. N. Srija; C. Bavithra; and Duggi Nagabhushanam on May 05, 2026, for Iot And Cloud-Based Psychological Behavior Monitoring System For Predicting English Language Teachers’ Attitudes Toward Ai Integration.
Inventors include Jayesh Surana; Samuel Babu Koppula; Sonal Saxena; Dr. Moniza Ray S. P; P. Raja Sekhar; Deepika Dubey; Ms. Pratima H. Khose; Dr. Ramesh Pettela; Nishu Sharma; Mrs. N. Srija; C. Bavithra; and Duggi Nagabhushanam.
The application for the patent was published on July 31, 2026, under issue no. 31/2026.
Abstract: The present invention relates to the development of an Internet of Things (IoT) and cloud-computing based psychological behavior monitoring system and method for predicting the attitudes and emotional receptiveness of English Language Teachers (ELTs) to the adoption of Artificial Intelligence (AI) tools in teaching. The system includes two networks: wearable IoT sensors for collecting physiological signals like Heart Rate Variability (HRV) and Galvanic Skin Response (GSR), and ambient IoT sensors for behavioral metrics such as facial micro-expressions and vocal stress. Data is securely transmitted to a cloud environment, synchronized with API logs of teacher interactions with AI software. A deep learning predictive engine utilizing Long Short-Term Memory (LSTM) and Convolutional Neural Networks (CNN) analyzes this data to derive an AI Receptivity Score, presented on a secure dashboard, thus providing an objective measure over subjective self-reports for educational administrators. FIG.1
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