Yang Hong

Papers

Total Citations

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About

Yang Hong is a pioneering researcher in brain-computer interfaces (BCI) and assistive robotics, with a focus on translating neural signals into practical control systems. His most cited work, "Motor imagery BCI-based robot arm system" (2011, 26 citations), introduces a novel motor imagery (MI) protocol that generates eight distinct commands from just three MI modes, enabling intuitive multi-degree-of-freedom control of robotic arms. This breakthrough addresses a critical challenge in BCI—command diversity—by employing a sophisticated control strategy that simplifies complex movements for users. Hong’s contributions have significantly advanced non-invasive BCI applications, particularly for individuals with motor impairments, bridging the gap between neural decoding and real-world robotic assistance. His research stands out for its emphasis on usability and real-time performance, laying groundwork for future assistive technologies. With a career marked by innovative protocol design and a commitment to practical BCI systems, Yang Hong continues to influence the fields of neural engineering and human-robot interaction, inspiring new generations of researchers to explore the frontiers of mind-controlled robotics.