Kawther Alagha
Papers
1
Total Citations
7
H-Index
1
About
Dr. Kawther Alagha is a pioneering researcher in the fields of human-computer interaction, autonomous systems, and gesture-based control technologies. Her most impactful work, "Gesture-controlled omnidirectional autonomous vehicle: A web-based approach for gesture recognition" (2025), has already garnered 7 citations, demonstrating its early influence on the development of intuitive, non-contact vehicle control systems. In this study, Dr. Alagha introduced a novel web-based hand gesture recognition model, leveraging a custom-trained YOLOv5s deep learning architecture to translate user hand gestures into precise control signals for an omnidirectional autonomous vehicle. This contribution bridges the gap between advanced computer vision and practical autonomous navigation, offering a scalable, accessible solution for real-world applications such as assistive mobility and industrial automation. Her work stands out for its integration of lightweight, real-time processing with robust gesture classification, making it a valuable reference for researchers exploring edge AI and human-robot interaction. Dr. Alagha’s research not only advances autonomous vehicle technology but also paves the way for more natural, gesture-driven interfaces in smart environments.
Research Focus
Key Achievements
Top Papers
- 1