Xiaojuan Wei
Papers
1
Total Citations
3
H-Index
1
About
Xiaojuan Wei is a researcher whose work centers on assistive robotics and intelligent systems designed to support elderly populations. Her most notable contribution, "Research on the Falling Detection System for Elderly-assistant and Walking-assistant Robot" (2019), addresses one of the most pressing challenges posed by global aging demographics — the development of automated fall detection technologies integrated into assistive robotic platforms. By combining insights from gerontology, human movement analysis, and robotic engineering, Wei's research aims to mitigate the physical risks associated with age-related declines in mobility and bodily flexibility. Her work recognizes that as body function degenerates with age, intelligent robotic intervention becomes increasingly critical for maintaining elderly independence and safety. Although her citation record is still in its early stages, with her primary work accumulating 3 citations, Wei is contributing to a rapidly growing field at the intersection of healthcare technology and robotics. Her research speaks directly to real-world societal needs driven by aging global populations, positioning her as an emerging voice in human-centered assistive technology development with meaningful implications for future eldercare systems and policy.
Research Focus
Key Achievements
Top Papers
- 1