Hui-Yuan Chan
Papers
3
Total Citations
6
H-Index
2
About
Hui-Yuan Chan’s research centers on indoor localization and 3D positioning, with a particular focus on leveraging Nintendo Wiimote infrared cameras for innovative sensing applications. Chan’s major contributions include developing a general dual-Wiimote 3D localization scheme that uses stereo vision and geometric transformations to extract precise spatial coordinates of objects. This work extends to sensitivity analysis and practical deployment, such as detecting robot arm attitudes for automation and smart living environments. Although each of Chan’s most-cited papers has garnered 2 citations, the consistent theme across these studies—from the initial 2017 scheme to the refined 2020 general framework—demonstrates a sustained effort to mature infrared LED-based 3D positioning for general indoor use. By addressing limitations in existing 2D systems, Chan has advanced low-cost, accessible localization technology that bridges computer animation, robotics, and smart home applications. This body of work highlights a dedication to practical, scalable solutions in spatial sensing, making Chan’s research a valuable reference for those exploring affordable 3D tracking with consumer hardware.
Research Focus
Key Achievements
Top Papers
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