Kevin Liu
Papers
1
Total Citations
3
H-Index
1
About
Kevin Liu is a researcher focused on assistive technology and human-computer interaction, with a particular emphasis on low-cost, accessible solutions for individuals with mobility impairments. His most cited work, "A Vision-Based Low-Cost Power Wheelchair Assistive Driving System for Smartphones" (2022), introduces an innovative approach that leverages smartphone cameras and computer vision to enable intuitive control of power wheelchairs, eliminating the need for expensive external hardware or complex software. This contribution addresses a critical gap in assistive driving systems, making them more affordable and widely accessible. With 3 citations, this paper has already garnered attention for its practical impact on improving quality of life for users. Liu’s research stands out for its commitment to reducing barriers in assistive technology, combining technical rigor with real-world applicability. His work exemplifies how vision-based systems can democratize access to mobility aids, and he continues to explore ways to integrate smart devices into inclusive design solutions.
Research Focus
Key Achievements
Top Papers
- 1