Chi-sun Ho

Papers

Total Citations

H-Index

About

Chi-sun Ho is a pioneering researcher in biomedical engineering and human-robot interaction, best known for his foundational work in brain-wave and bio-potential-based control systems. His most cited paper, "Brain-wave bio potentials based mobile robot control: wavelet-neural network pattern recognition approach" (2002, 17 citations), introduced a novel wavelet-neural network framework for classifying electrooculography (EOG) and electromyography (EMG) signals to drive mobile robots. This work shifted the field away from reliance on experimenter feedback training, emphasizing instead robust wavelet pattern recognition methods for real-time bio-signal interpretation. Ho’s contributions have significantly advanced assistive robotics and neural interface technologies, demonstrating how non-invasive bio-potentials can be harnessed for intuitive machine control. His research bridges signal processing, neural networks, and human-machine systems, offering practical pathways for developing hands-free control devices for individuals with motor impairments. Though his citation counts reflect a focused niche, his methodological innovations—particularly the integration of wavelet transforms with neural networks—have inspired subsequent work in brain-computer interfaces and rehabilitation robotics. Ho’s legacy lies in his early, principled approach to making bio-signal control accessible and reliable.