Description of Invention
Gait recognition, as a behavioral biometric trait, tracks individuals based on their unique walking patterns. Its non-invasive and unobtrusive nature makes it suitable for various applications. In the context of COVID-19, social distancing and the widespread use of face masks have made facial recognition unreliable, thus raising concerns regarding individual identification. To mitigate these issues, our research focuses on leveraging gait biometric traits, which rely on human motion for identification. Gait recognition allows for long-distance and non-cooperative identification, offering a promising solution to the challenges faced by the Human. This project aims to address pressing societal challenges during the COVID-19 pandemic faced by the Human.