Papers
4
Total Citations
217
H-Index
4
About
Qiyun Huang is a leading researcher in the field of brain-computer interfaces (BCIs) and assistive robotics, with a particular focus on developing innovative human-machine interaction systems for individuals with severe motor disabilities. His work centers on integrating neural signal processing — including EEG and EOG-based control — with intelligent robotic systems to restore independence and improve quality of life for patients with conditions such as spinal cord injury. Huang's most impactful contribution, a hybrid EEG/EOG-based BCI for controlling an integrated wheelchair robotic arm system (2019, 97 citations), addressed a critical gap in the field by moving beyond single-device control toward multi-device integration that mirrors real-world functional demands. His subsequent work on shared 3D robotic arm control using asynchronous BCI and computer vision (2023, 55 citations) pushed boundaries further by enabling complex grasping tasks in three-dimensional environments. Additional notable contributions include EOG-driven wheelchair robotic arm systems tailored for spinal cord injury patients (40 citations) and wearable human-machine interfaces for motor-impaired users (25 citations). Together, these works — accumulating over 200 citations — establish Huang as a pioneering figure bridging neuroscience, rehabilitation engineering, and autonomous robotics.
Research Focus
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