Munir Oudah

Papers

Total Citations

607

H-Index

About

Dr. Munir Oudah is a leading figure in computer vision and human-computer interaction (HCI), with a primary focus on hand gesture recognition. His seminal review, "Hand Gesture Recognition Based on Computer Vision: A Review of Techniques" (2020), has garnered over 600 citations, establishing itself as a foundational resource in the field. In this work, Dr. Oudah systematically categorized and analyzed diverse methodologies—from vision-based approaches to sensor-driven systems—highlighting their applications in areas such as assistive technology for deaf-mute communication, robot control, and home automation. His contributions have significantly advanced the understanding of how nonverbal cues can bridge the gap between humans and machines. Beyond this landmark paper, Dr. Oudah’s research continues to explore robust, real-time gesture recognition systems, emphasizing accuracy and adaptability in dynamic environments. His work not only drives innovation in HCI but also holds transformative potential for medical rehabilitation and inclusive technology design, making him a key voice in the evolution of intuitive, hands-free interfaces.