Cheuk Yin Chan

Rhine-Waal University of Applied Sciences

Papers

Total Citations

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About

Cheuk Yin Chan is a pioneering researcher at the intersection of brain-computer interfaces (BCIs) and virtual reality, with a focus on developing practical, real-world assistive technologies. His most cited work, "SSVEP-Based BCI in Virtual Reality - Control of a Vacuum Cleaner Robot" (2018, 16 citations), introduces a novel paradigm that combines steady-state visual evoked potentials (SSVEPs) with immersive VR environments to enable hands-free control of robotic devices. This research demonstrates how flickering visual stimuli in virtual spaces can be harnessed to generate reliable brain signals, allowing users to command a vacuum cleaner robot without peripheral muscle involvement. Chan’s contributions are significant for advancing non-invasive BCI systems that are both intuitive and accessible, particularly for individuals with severe motor disabilities. By integrating VR, he enhances user engagement and spatial awareness, addressing key limitations of traditional 2D BCI setups. His work has garnered attention for its practical implications in assistive robotics and rehabilitation, with citations reflecting its impact on the growing field of VR-based neurotechnology. Chan’s research continues to push boundaries, bridging the gap between neural signal processing and immersive human-machine interaction.