Xinan Fan

Beijing Institute of Technology, Beijing Research Institute of Mechanical and Electrical Technology

Papers

Total Citations

448

H-Index

About

Xinan Fan is a pioneering researcher in the field of brain-computer interfaces (BCIs), with a primary focus on translating neural signals into real-world control systems for assistive technology. His key research areas include EEG-based brain-controlled mobile robotics, driver steering control using brain signals, and the integration of BCIs with head-up display (HUD) systems. Fan’s most influential work, the 2013 survey on EEG-based brain-controlled mobile robots, has garnered 386 citations and serves as a foundational reference for the development of mobility aids for severely disabled individuals. He has made significant contributions by demonstrating how P300-based BCIs can issue motion commands—such as turning and forward movement—to mobile robots, and by modeling driver steering control through queuing network analysis of EEG signals. Notably, Fan proposed a novel BCI system that overlays P300 visual stimuli onto a car windshield via HUD, advancing the potential for hands-free vehicle operation. His work bridges neuroscience, robotics, and human-computer interaction, offering practical pathways for disabled users to achieve voluntary movement and for broader applications in assisted driving.