MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202641018786 A) filed by Dr. Nagesh Vadaparthi; and Dr. Arvind Kumar Tiwari, Vizia Nagaram, Andhra Pradesh, on Feb. 19, for 'a system and method for eeg-based deception detection using deep learning.'
Inventor(s) include Dr. Nagesh Vadaparthi; and Dr. Arvind Kumar Tiwari.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a system and computer-implemented method for detecting deception using electroencephalogram (EEG) signals and deep learning architectures. The system comprises an EEG acquisition interface configured to capture multichannel brainwave signals from a subject during stimulus presentation, a preprocessing module configured to perform signal conditioning including noise filtering, artifact removal, and epoch segmentation, and a feature learning module employing one or more neural network models for automated extraction of spatiotemporal features. A classification module processes the learned features to determine whether a cognitive state corresponds to deceptive or truthful responses and generates an associated confidence score. The invention enables objective, automated, and scalable deception detection by leveraging data-driven neural network models trained on labeled EEG datasets, thereby reducing reliance on subjective human interpretation."
Disclaimer: Curated by HT Syndication.
