Linfen Xu
Papers
1
Total Citations
7
H-Index
1
About
Linfen Xu is a leading researcher in brain-computer interfaces (BCI), with a primary focus on P300-based event-related potential (ERP) detection. Their most cited work, "P300 Recognition Based on Ensemble of SVMs," presented at the 2019 World Robot Conference, tackles one of the field’s most persistent challenges: accurately detecting P300 signals with minimal repetitions to improve real-time BCI responsiveness. By employing an ensemble of support vector machines, Xu’s approach enhances recognition accuracy while reducing the number of trials needed, directly addressing the critical trade-off between speed and reliability in BCI systems. This contribution has significant implications for assistive technologies, enabling faster and more intuitive communication for individuals with severe motor impairments. With 7 citations on this pivotal paper, Xu’s work is recognized for advancing practical BCI applications, particularly in competitive and robotic contexts. Their research continues to shape the development of more efficient, user-friendly neural interfaces, bridging the gap between laboratory innovation and real-world deployment.
Research Focus
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Top Papers
- 1