Xiangliang Zhang

Ministry of Civil Affairs, Zhejiang University

Papers

Total Citations

H-Index

About

Xiangliang Zhang is a leading researcher in rehabilitation robotics and human-machine interaction, with a focus on developing intuitive, non-invasive control systems for assistive technologies. Their work centers on creating multimodal interfaces that combine hand gestures with facial expression recognition, enabling bedridden patients to interact with rehabilitation robots more naturally and effectively. Zhang’s research also addresses critical challenges in wearable motion analysis, particularly the indirect measurement of foot posture using dual-module-driven methods that reduce the need for multiple sensors while maintaining accuracy. With over 5 citations on their most influential papers, Zhang’s contributions are gaining recognition for their potential to improve patient outcomes and autonomy. Their innovative approach to hybrid target selection and sensor-efficient motion tracking has direct applications in clinical rehabilitation settings, offering practical solutions for long-term monitoring and therapy. Zhang’s work stands out for its emphasis on user-centered design and real-world applicability, making them a notable figure in the advancement of intelligent rehabilitation systems.