Papers
1
Total Citations
3
H-Index
1
About
Yanqi Lu is a researcher specializing in assistive technology, sensor fusion, and human motion analysis. Their work bridges the domains of robotics-inspired localization and wearable computing, with a particular focus on developing practical solutions for mobility assistance. Lu's most recognized contribution is the development of a novel Electronic Travel Aid (ETA) system, published in 2014, which draws inspiration from indoor localization techniques used in mobile robotics. By applying an Extended Kalman Filter (EKF) to integrate data from multiple wearable sensors, Lu's system enables real-time estimation of a user's lower limb posture — a meaningful advancement in assistive navigation technology for individuals with visual or mobility impairments. This work demonstrates a sophisticated application of state estimation algorithms traditionally confined to robotics, repurposing them for human-centered wearable systems. Although still accumulating citations with 3 to date, the research represents a thoughtful interdisciplinary approach that connects embedded systems design, signal processing, and rehabilitation engineering. Lu's contributions highlight the growing potential of sensor-rich wearable devices to enhance independence and quality of life for users navigating complex environments.
Research Focus
Key Achievements
Top Papers
- 1