Papers
8
Total Citations
192
H-Index
6
About
Erwei Yin is a leading researcher at the intersection of brain–computer interfaces (BCIs), assistive robotics, and autonomous navigation, with a career marked by pioneering work in human–machine interaction. His major contributions center on developing adaptive, asynchronous control systems that integrate augmented reality with BCIs—most notably, his 2021 paper on an augmented reality-assisted brain-controlled robotic arm, which has garnered 87 citations and demonstrates how to enhance flexibility in prosthetic control. Yin has also advanced signal processing for BCIs, introducing a Morse code-inspired method for multiclass motor imagery (32 citations) and improving P300-speller classification through multi-window discriminative canonical pattern matching (32 citations). His work extends to tactile ERP-based BCIs for communication, addressing visual fatigue in disabled users, and to vision-and-language navigation (VLN) for autonomous robots, where his 2024 Safe-VLN paper tackles collision avoidance in continuous environments (19 citations). With additional contributions in multi-camera calibration for human pose estimation and sEMG-based robot control, Yin’s research consistently pushes toward more intuitive, reliable, and practical assistive technologies. His high-impact publications reflect a dedication to translating BCI innovations into real-world robotic systems that empower individuals with severe motor impairments.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5An Tactile ERP-Based Brain–Computer Interface for Communication10 citations · 2018
- 6Auto calibration of multi‐camera system for human pose estimation7 citations · 2022
- 7
- 8