Wen Bang Dou

Papers

Total Citations

H-Index

About

Dr. Wen Bang Dou is a researcher at the forefront of human-robot interaction, with a primary focus on hand gesture recognition and communication. His most cited work, "Hand Gesture Communication using Deep Learning based on Relevance Theory" (2020, 5 citations), exemplifies his innovative approach to bridging cognitive science and artificial intelligence. By integrating relevance theory—a framework from pragmatics—into deep learning models, Dr. Dou has advanced how social robots interpret and respond to human gestures, making interactions more intuitive and context-aware. His contributions address critical challenges in deploying state-of-the-art deep learning methods for real-world robotic systems, particularly in enhancing the efficiency and accuracy of gesture-based communication. This work has implications for assistive technologies, service robotics, and human-centered AI. While his citation count reflects an emerging career, Dr. Dou’s interdisciplinary methodology and focus on theoretical grounding in applied robotics mark him as a promising voice in the field. His research continues to shape how machines understand non-verbal human cues, paving the way for more seamless human-robot collaboration.