Farrah Wong

Papers

Total Citations

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About

Farrah Wong is a researcher whose work bridges the fields of computer vision and intelligent control systems, with a particular focus on skin color segmentation and soft computing applications in robotics. Her early research introduced a novel approach to skin color model parameter prediction using Elman networks (2005), a contribution that has garnered 3 citations and addresses a critical challenge in machine vision—enabling more accurate face and hand detection for applications like gesture recognition and security systems. This work underscores her expertise in leveraging neural networks for real-time visual processing. Expanding into autonomous systems, Wong developed a soft computing control system for unmanned airships (2010, 2 citations), demonstrating how fuzzy logic and neural networks can enhance flexibility over traditional model-based controls. Her research highlights a commitment to practical, adaptive solutions in robotics, from human-computer interaction to aerial vehicle navigation. While her citation counts are modest, Wong’s contributions are notable for their interdisciplinary approach, combining computational intelligence with real-world engineering challenges. Her work serves as a foundation for students and researchers exploring the integration of soft computing in vision and control systems.