Sharon Banh

University of California San Diego

Papers

1

Total Citations

7

H-Index

1

About

Sharon Banh is a researcher at the forefront of rehabilitation robotics, with a primary focus on developing intelligent, personalized systems for post-stroke gait training. Her work addresses a critical gap in the field: while robotic rehabilitation devices have advanced considerably, most fail to adapt to the unique abilities, interests, and learning styles of individual patients. In her highly cited 2021 paper, "A Robot-based Gait Training System for Post-Stroke Rehabilitation," Banh proposes a novel framework that prioritizes personalization, aiming to make robotic therapy more effective and engaging for stroke survivors. This contribution has already garnered 7 citations, signaling its growing influence among engineers and clinicians seeking to improve patient outcomes. By centering the human experience within technological design, Banh’s research promises to transform rehabilitation from a one-size-fits-all approach into a truly adaptive, patient-driven journey. Her work stands as a vital step toward more responsive and compassionate robotic care.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
A Robot-based Gait Training System for Post-Stroke Rehabilitation
7 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of California San Diego

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago