Papers
1
Total Citations
9
H-Index
1
About
Hadia Akmal is a researcher whose work sits at the intersection of human-computer interaction (HCI) and assistive technology, with a particular focus on making digital systems more accessible through natural, intuitive interfaces. Her most cited paper, "Human Computer Interaction Based on Gestural Cues Recognition/Sign Language to Text Conversion" (2019, 9 citations), addresses a critical challenge in HCI: bridging the communication gap between hearing and speech-impaired individuals and the broader digital world. By developing systems that convert sign language gestures into readable text, Akmal’s research demonstrates how gesture recognition can serve as a powerful, inclusive tool for interaction. This work not only advances the technical field of gestural cue recognition but also contributes to the broader goal of universal design in computing. Her contributions are especially notable for their practical, human-centered approach—turning complex recognition algorithms into real-world solutions that empower users. While her citation count reflects a growing, early-career impact, the significance of her research lies in its potential to reshape how we think about accessibility in HCI, making technology more responsive to diverse human needs.
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Top Papers
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