MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202511080180 A) filed by Er. Kamaljeet Kaur; Er. Rajni Bedi; Er. Varun Sharma; Ms. Navjot Kaur; and Ms. Jasmeet Kaur, Jalandhar, Punjab, on Aug. 24, 2025, for 'dynamic machine learning-based password less authentication system using brainwave (eeg) patterns.'
Inventor(s) include Er. Kamaljeet Kaur; Er. Rajni Bedi; Er. Varun Sharma; Ms. Navjot Kaur; and Ms. Jasmeet Kaur.
The application for the patent was published on March 13, under issue no. 11/2026.
According to the abstract released by the Intellectual Property India: "The invention discloses a dynamic machine learning-based password less authentication system utilizing brainwave (EEG) patterns as a biometric modality. The system comprises a non-invasive EEG sensor, a pre-processing unit employing noise filtering and feature extraction, and a machine learning module integrating CNN, LSTM, and SVM models for recognition of user-specific neural patterns. An authentication decision layer computes similarity scores between live EEG signals and stored templates, enabling continuous and adaptive authentication. Experimental results achieve up to 97.8% accuracy with strong resistance to spoofing. The invention addresses the limitations of passwords and static biometrics, offering a secure, adaptive, and user-centric authentication solution applicable across defence, banking, healthcare, and secure enterprise environments."
Disclaimer: Curated by HT Syndication.
