Wardah Afzal

University of Engineering and Technology Lahore

Papers

Total Citations

H-Index

About

Wardah Afzal is a researcher in human-computer interaction (HCI), with a focused interest in making technology more accessible through gesture-based communication. Her most cited work, "Human Computer Interaction Based on Gestural Cues Recognition/Sign Language to Text Conversion" (2019, 9 citations), addresses a critical need in assistive technology by bridging the gap between sign language users and text-based systems. This research explores how natural gestural cues can be interpreted by computer systems, offering a more intuitive and inclusive interface for users who rely on non-verbal communication. By tackling the challenge of real-time sign language to text conversion, Afzal contributes to the broader goal of creating seamless, barrier-free interactions between humans and machines. Her work sits at the intersection of HCI, accessibility, and pattern recognition, demonstrating a commitment to designing technology that serves diverse user needs. While her citation count is modest, the practical implications of her research—particularly for the deaf and hard-of-hearing community—underscore its potential for meaningful real-world impact. Afzal’s contributions highlight the importance of user-centered design in emerging HCI applications.