Jhih-Syuan Huang

National Sun Yat-sen University

Papers

1

Total Citations

3

H-Index

1

About

Jhih-Syuan Huang is a leading researcher in rehabilitation robotics and intelligent biomechatronic systems, with a focus on developing adaptive assistive technologies for human mobility. Their most notable contribution is the design of an integrated lower limb robotic orthosis that combines near-field electrospinning (NFES) piezoelectric sensors with fuzzy logic-based gait phase detection and motion control. This work, published in 2025 and already garnering 3 citations, introduces a novel approach to embedding highly oriented pressure sensors directly into the insole of a robotic exoskeleton, enabling real-time, adaptive support for individuals with lower limb impairments. By leveraging fuzzy logic algorithms, Huang’s system achieves precise, context-aware gait phase recognition, significantly enhancing rehabilitation outcomes and daily mobility assistance. This innovation bridges advanced materials science with intelligent control systems, offering a scalable, cost-effective solution for personalized neurorehabilitation. Huang’s research stands out for its interdisciplinary integration of sensor technology, robotics, and human motion analysis, positioning them as a rising authority in wearable robotic systems. Their work holds promise for transforming clinical rehabilitation and assistive device design, with potential applications in stroke recovery, spinal cord injury support, and elderly mobility aids.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Integrated Lower Limb Robotic Orthosis with Embedded Highly Oriented Electrospinning Sensors by Fuzzy Logic-Based Gait Phase Detection and Motion Control
3 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: National Sun Yat-sen University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago