Yi‐Hung Liu

About

Yi‐Hung Liu is a leading researcher at the intersection of brain–computer interfaces (BCIs), rehabilitation robotics, and intelligent sensing systems. His work focuses on developing assistive technologies for individuals with severe motor disabilities, including stroke survivors and those with amyotrophic lateral sclerosis or multiple sclerosis. Liu’s most cited paper (33 citations) introduces an SSVEP-based BCI system for electric wheelchair control, enabling hands-free operation through EEG signals. He has also pioneered a robotic gait training system that integrates split-belt treadmills, footprint sensing, and synchronous EEG recording for neuro-motor recovery in hemiplegic patients. His contributions extend to tactile image recognition for automated robotic assembly, using kernel PCA and multiple kernel learning to enhance robotic perception. Liu’s brain-controlled rehabilitation system (BCRS) and his work on upper extremity robotic prostheses demonstrate a sustained commitment to translating neural signals into practical motor assistance. With a career spanning over a decade, his research has accumulated dozens of citations and continues to influence the design of patient-centered rehabilitation technologies, offering new pathways for motor recovery and independent living.

Research Focus

Key Achievements

Top Papers

1. 1
   An Electric Wheelchair Manipulating System Using SSVEP-Based BCI System

   33 citations · 2022
2. 2
   Low‐Resolution Tactile Image Recognition for Automated Robotic Assembly Using Kernel PCA‐Based Feature Fusion and Multiple Kernel Learning‐Based Support Vector Machine

   11 citations · 2014
3. 3
   A robotic gait training system integrating split-belt treadmill, footprint sensing and synchronous EEG recording for neuro-motor recovery

   9 citations · 2015
4. 4
   A brain-controlled rehabilitation system with multiple kernel learning

   7 citations · 2011
5. 5
   Controlling a Rehabilitation Robot with Brain-Machine Interface: An approach based on Independent Component Analysis and Multiple Kernel Learning

   4 citations · 2013
6. 6
   Rehabilitation Robotic Prostheses for Upper Extremity

   4 citations · 2015
7. 7
   Integration of visual feedback system and motor current based gait rehabilitation robot for motor recovery

   2 citations · 2016

Key Collaborators

Contact & Links