Hafsa Binte Kibria

Rajshahi University of Engineering and Technology

Papers

1

Total Citations

2

H-Index

1

About

Hafsa Binte Kibria is a researcher specializing in human-computer interaction (HCI), with a particular focus on gesture-based control systems. Her most notable work, "Hand Gesture Recognition Based Human Computer Interaction to Control Multiple Applications" (2021), introduces a framework that enables users to manage multiple software applications through intuitive hand gestures, eliminating the need for traditional input devices. This contribution addresses key challenges in accessibility and seamless interaction, offering a touchless, efficient alternative for diverse computing environments. While her citation count is currently modest at 2, the work demonstrates foundational promise in an era increasingly driven by contactless technology and smart interfaces. Kibria’s research sits at the intersection of computer vision, machine learning, and user experience design, aiming to make technology more responsive and inclusive. Her approach to integrating gesture recognition with real-time application control highlights a forward-thinking perspective on how humans will interact with digital systems in the future. For students and researchers exploring HCI or assistive technologies, Kibria’s work provides a clear, practical example of how gesture-based systems can bridge the gap between human intent and machine action.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Hand Gesture Recognition Based Human Computer Interaction to Control Multiple Applications
2 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Rajshahi University of Engineering and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago