Xujiong Dong
Papers
1
Total Citations
53
H-Index
1
About
Xujiong Dong is a leading researcher in the field of brain-computer interfaces (BCIs), with a primary focus on hybrid systems that integrate neural and ocular signals for robotic control. Her most cited work, "Hybrid gaze/EEG brain computer interface for robot arm control on a pick and place task" (2015, 53 citations), represents a significant contribution to assistive technology. In this landmark study, Dong pioneered a novel approach that combines eye-tracking gaze data with electroencephalography (EEG) to enable intuitive, real-time control of a robotic arm. By allowing users to explicitly command the end effector in four directions through motor imagery, her system dramatically improves the precision and usability of BCIs for individuals with severe motor impairments. This work demonstrates how fusing multiple physiological signals can overcome the limitations of single-modality interfaces, offering a more robust and natural control mechanism. Dong's research sits at the intersection of neuroscience, robotics, and human-computer interaction, with her hybrid BCI framework serving as a foundational model for subsequent developments in neural prosthetics and assistive robotics.
Research Focus
Key Achievements
Top Papers
- 1