Huong Thi Thu Vu

Papers

Total Citations

149

H-Index

About

Huong Thi Thu Vu is a researcher at the intersection of biomechatronics, human–robot interaction, and intelligent control systems. Her primary research focuses on advancing lower-limb prostheses and exoskeletons through robust gait phase detection and locomotion mode recognition. In her highly cited 2020 review, Vu systematically analyzed gait phase detection algorithms for powered prosthetics, highlighting the critical need for fast, accurate sensing in increasingly complex robotic devices—a work that has garnered 129 citations and become a foundational reference in the field. She further advanced the domain by comparing machine learning and deep learning methods for locomotion mode recognition using a single inertial measurement unit, demonstrating how real-time classification can enable seamless transitions between walking modes. Beyond prosthetics, Vu has explored human–robot interaction with the DualKeepon platform, a testbed designed to study linguistic features of speech in social robotics. Her work bridges engineering and clinical application, offering practical pathways toward more responsive, adaptive assistive devices. With contributions that span algorithm development, sensor miniaturization, and interactive robotics, Vu is shaping the future of intelligent, user-aware wearable technology.