Weijiang Feng

National University of Defense Technology

Papers

Total Citations

H-Index

About

Weijiang Feng is a researcher at the forefront of human-computer interaction, with a specialized focus on ego-centric vision and gesture-based robot control. His work addresses a critical challenge in wearable technology: enabling seamless, intuitive communication between humans and machines. Feng’s most cited paper, “Towards robust ego-centric hand gesture analysis for robot control” (2016), introduces a multi-stage pipeline for analyzing hand gestures captured from a first-person perspective. This pipeline is designed to overcome the inherent difficulties of ego-centric vision, such as occlusions and dynamic backgrounds, making it a foundational contribution to the field. With 9 citations, this work has influenced subsequent research in wearable interfaces and robotic teleoperation. Feng’s research is pivotal for advancing next-generation devices that rely on natural, non-verbal commands, bridging the gap between human intent and robotic action. His contributions are particularly valuable for students and researchers exploring robust, real-time interaction systems in robotics and augmented reality.