Wei‐Li Hsu
Papers
5
Total Citations
104
H-Index
3
About
Wei‐Li Hsu is a leading researcher in rehabilitation robotics, with a focus on developing and evaluating powered lower limb exoskeletons for individuals with motor impairments. Her most-cited work, a 2018 pilot study on gait training using a powered exoskeleton for complete spinal cord injury patients (65 citations), demonstrated significant improvements in mobility and mechanical support, establishing a foundation for clinical applications. Hsu’s earlier 2007 paper on exoskeleton designs for gait assistance (22 citations) introduced novel lower extremity systems, expanding robotics beyond upper limb training. More recently, she has integrated machine learning into her research, pioneering methods like using inertial measurement units and long short-term memory neural networks for human posture transition-time detection (2023, 12 citations). This work addresses a critical gap in human-robot interaction by enabling real-time detection of movement changes, essential for safe and effective exoskeleton control. Hsu’s contributions have advanced both the engineering and clinical utility of assistive devices, with her studies cited for their practical impact on rehabilitation. Her interdisciplinary approach, combining biomechanics, robotics, and AI, continues to shape the future of motor-impaired training and human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1
- 2Exoskeletons for Gait Assistance and Training of the Motor-Impaired22 citations · 2007
- 3
- 4Machine Learning for Human Motion Change Detection3 citations · 2023
- 5