Chang Hoon Lee

Papers

Total Citations

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About

Chang Hoon Lee is a researcher whose work centers on human-computer interaction and computer vision, with a particular focus on sensor-based gesture recognition and image processing. His most notable contribution is the development of a novel hand gesture recognition method that leverages an infrared proximity sensor array combined with fuzzy logic classification, offering a robust approach to controlling electronic devices without the need for direct contact. This work, published in 2015, has garnered 3 citations and addresses the challenge of interpreting complex gesture patterns in real-world environments. Additionally, Lee has explored the critical problem of sudden illumination change detection and image contrast enhancement, a 2014 study that also earned 3 citations, demonstrating his versatility in tackling visual data quality issues. While his citation counts reflect early-stage impact, his research lays important groundwork for more intuitive and adaptive user interfaces, particularly in applications where traditional touch or vision-based systems fail under variable lighting or occlusion. Lee’s contributions are valuable for students and researchers interested in low-cost sensor arrays, fuzzy logic systems, and practical solutions for enhancing machine perception in dynamic settings.