MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202611000785 A) filed by Chandigarh Universit, Mohali, Punjab, on Jan. 5, for 'neuroprint - ai-driven cognitive-motor biometrics for unmasking identity through gait analysis.'
Inventor(s) include Mr. Shaman Sharma; and Dr. Deepak Kumar.
The application for the patent was published on Feb. 13, under issue no. 07/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses an artificial intelligence-based forensic identification system, referred to as NeuroPrint, which enables reliable identification of individuals using cognitive-motor gait signatures extracted from video footage. Unlike conventional biometric systems that depend on facial features, fingerprints, or voice characteristics, NeuroPrint analyzes involuntary brain-to-body control metrics, including neural reflex delay, posture shifts, micro-tremors, and gait synchronization. These subconscious movement patterns form a unique and immutable biometric profile that remains effective even when individuals are masked, disguised, or partially visible. The system operates efficiently on low-resolution, night-vision, or degraded video inputs and employs advanced pose estimation and machine learning techniques for feature extraction and comparison. By matching generated NeuroPrint signatures with authorized national or institutional databases, the invention facilitates high-confidence identification suitable for law enforcement, military surveillance, border security, and judicial investigations."
Disclaimer: Curated by HT Syndication.
