Hasan Erteza Gelani

University of Engineering and Technology Lahore

Papers

Total Citations

H-Index

About

Hasan Erteza Gelani is a researcher at the forefront of human-computer interaction (HCI), with a specialized focus on gesture-based interfaces and assistive technologies. His most-cited work, "Human Computer Interaction Based on Gestural Cues Recognition/Sign Language to Text Conversion" (2019, 9 citations), addresses a critical challenge in accessibility by developing systems that translate sign language gestures into readable text. This contribution bridges the gap between natural human communication and machine understanding, offering intuitive interaction methods for diverse users. Gelani’s research explores how gestural cues can replace traditional input devices, making technology more inclusive for individuals with hearing or speech impairments. By combining computer vision, pattern recognition, and HCI principles, he advances practical solutions for real-world applications. His work has been recognized for its potential to transform how humans engage with digital environments, emphasizing natural, non-verbal communication. With a growing citation impact, Gelani continues to push boundaries in assistive HCI, demonstrating how gesture recognition can democratize access to technology and foster more seamless human-machine collaboration.