Xupeng Ye
Papers
1
Total Citations
4
H-Index
1
About
Xupeng Ye is a researcher at the forefront of brain–computer interface (BCI) technology, with a focus on noninvasive neural decoding and motor imagery. His work centers on developing intuitive, real-time systems that translate imagined physical actions into control signals, bridging the gap between human intent and machine response. In his most-cited paper, "A novel noninvasive brain–computer interface by imagining isometric force levels" (2022), Ye introduced a groundbreaking approach that allows users to modulate imagined force levels—rather than just binary commands—through EEG signals. This innovation expands the expressive capacity of BCIs, enabling finer-grained control for applications like prosthetic limbs and assistive devices. While his citation count is still growing, Ye’s contributions are notable for their practical emphasis on usability and accuracy, addressing key challenges in noninvasive BCI design. His work has been recognized for its potential to improve quality of life for individuals with motor impairments, and he continues to push boundaries in neural signal processing and human–machine interaction.
Research Focus
Key Achievements
Top Papers
- 1