Fengyan Liang

Chinese University of Hong Kong, Hainan University

Papers

Total Citations

133

H-Index

About

Fengyan Liang is a pioneering researcher at the intersection of rehabilitation robotics and brain-computer interfaces (BCIs), dedicated to restoring mobility and independence for individuals with paralysis. Her work spans wearable exoskeletons, human motion analysis, and neural control systems. Liang’s most influential contribution is her 2017 paper on a wearable exoskeleton suit for motion assistance in paralysed patients, which has garnered 109 citations. This work addresses the growing need for robotic devices that help patients regain standing and walking abilities, directly improving physical and mental health outcomes. She further advanced assistive technology through her 2021 study on synergy-based knee angle estimation using thigh kinematics, demonstrating her commitment to intuitive, bio-inspired control methods. Most recently, Liang has ventured into shared control paradigms, as evidenced by her 2024 work integrating intracortical brain-computer interfaces (iBCIs) with computer vision for 3D robotic arm control. This research enables paralysed patients to perform complex tasks, such as drinking water, by combining neural commands with autonomous visual guidance. Liang’s work exemplifies a holistic approach to assistive robotics, merging mechanical design, sensor fusion, and neural engineering to create practical, life-changing technologies.