Pooja Panwar

National Institute of Technology Srinagar

Papers

Total Citations

H-Index

About

Pooja Panwar is a researcher focused on the intersection of human-computer interaction and cybersecurity, with a particular emphasis on innovative authentication mechanisms. Her most cited work, "CHGR: Captcha generation using Hand Gesture Recognition" (2018), introduces a novel approach to security by replacing traditional text-based CAPTCHAs with gesture recognition systems. This contribution addresses the growing need for more user-friendly yet robust security measures in an increasingly digital world, where distinguishing between human users and automated bots is critical. By leveraging hand gesture recognition, Panwar’s research enhances both accessibility and security, offering an alternative that is harder for machines to bypass while remaining intuitive for humans. With 5 citations, this work has laid foundational ideas for future studies in gesture-based CAPTCHA systems. Panwar’s research demonstrates a commitment to advancing cybersecurity through creative, human-centered design, making her a notable voice in the field of secure human-computer interaction. Her work is particularly relevant for students and researchers exploring next-generation authentication technologies that balance usability with strong security protocols.