Yufeng Ke

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About

Yufeng Ke is a leading researcher in brain–computer interfaces (BCIs), with a focus on integrating neural signal processing with augmented reality (AR) technologies. His most influential work, "An online SSVEP-BCI system in an optical see-through augmented reality environment" (2019), has garnered 95 citations and represents a significant breakthrough in non-invasive BCI design. In this study, Ke developed a high-speed, eight-class steady-state visually evoked potential (SSVEP)-based BCI that operates seamlessly within an optical see-through AR headset, enabling real-time, hands-free control without obstructing the user’s natural vision. This contribution bridges the gap between neural decoding and immersive AR interfaces, opening new possibilities for assistive technology, neurorehabilitation, and human–computer interaction. By demonstrating that robust online BCI performance is achievable in dynamic AR environments, Ke has advanced the practical deployment of BCIs beyond laboratory settings. His work is widely cited by researchers exploring hybrid BCI-AR systems, and he continues to influence the design of wearable, user-centric neural interfaces. Ke’s research underscores the potential of combining electrophysiological sensing with augmented reality to create intuitive, responsive communication channels for individuals with motor impairments and for next-generation interactive systems.