Papers
2
Total Citations
5
H-Index
2
About
Jingye Xu is a researcher dedicated to enhancing mobility and independence for individuals with physical disabilities through accessible, low-cost assistive technology. His primary research areas center on human-computer interaction, embedded systems, and smartphone-based assistive driving solutions for power wheelchairs. Xu’s major contribution is the development of a vision-based, low-cost assistive driving system that leverages the ubiquitous smartphone—eliminating the need for expensive, specialized hardware. His most-cited work, "A Vision-Based Low-Cost Power Wheelchair Assistive Driving System for Smartphones" (2022, 3 citations), demonstrates how computer vision and smartphone sensors can provide intuitive, safe navigation for users with limited upper-body control. He further refined this approach in "An intelligent assistive driving solution based on smartphone for power wheelchair mobility" (2024, 2 citations), integrating intelligent algorithms to improve responsiveness and user experience. By prioritizing affordability and accessibility, Xu’s research directly addresses a critical gap in assistive technology, making advanced driving aids available to a broader population. His work holds significant promise for improving quality of life and autonomy for wheelchair users worldwide.
Research Focus
Key Achievements
Top Papers
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- 2