Papers
2
Total Citations
28
H-Index
2
About
Si-Huei Lee is a leading researcher at the intersection of virtual reality, robotics, and neurorehabilitation. Her work focuses on developing innovative, technology-driven assessment and training systems for individuals with neurological impairments, particularly chronic stroke and Parkinson's disease. Lee’s major contributions include the integration of robot-assisted haptics with virtual reality to simulate complex motor tasks, such as pinch-grip exercises, enabling precise kinematic and kinetic analysis for therapeutic evaluation. Her seminal 2014 paper on this topic has garnered 24 citations, establishing a foundational approach for using VR not just as a training tool but as a quantitative assessment platform. More recently, Lee has pioneered accessible, home-based rehabilitation solutions. Her 2022 work leverages OpenPose, a markerless motion capture system, to evaluate rehabilitation actions in Parkinson’s patients, addressing critical needs highlighted by the COVID-19 pandemic. This system, with 4 citations to date, demonstrates her commitment to scalable, low-cost technologies that empower patients to continue therapy outside clinical settings. Lee’s research is characterized by its direct clinical applicability and its potential to transform rehabilitation through intelligent, data-driven systems.
Research Focus
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Top Papers
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