Lingxiang Zheng

Papers

Total Citations

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About

Lingxiang Zheng is a researcher specializing in human-computer interaction, computer vision, and gesture recognition, with a particular focus on developing intuitive interfaces for both human-computer and human-robot interaction systems. Their most notable work, "2D Hand Tracking Based on Flocking with Obstacle Avoidance" (2014), addresses one of the persistent challenges in hand gesture recognition: the reliable detection and tracking of hands in the presence of skin-colored obstacles, such as the face region, which frequently causes existing systems to fail. By innovatively applying flocking algorithms combined with obstacle avoidance techniques, Zheng proposed a more robust solution to 2D hand tracking, contributing a meaningful methodological advancement to the field of gesture-based interaction. This work reflects a broader commitment to making human-machine interfaces more natural, reliable, and accessible. While still in the early stages of accumulating citations, with the 2014 paper garnering 2 citations, Zheng's research addresses real-world limitations in existing systems and lays groundwork that holds relevance for ongoing advancements in robotics, augmented reality, and intelligent interface design.