Papers
5
Total Citations
19
H-Index
3
About
Yasser Alayli’s research bridges computer vision and assistive technology, with a focus on robust feature detection and human–machine interfaces for people with disabilities. His most cited work, “A Robust Edge-Based Corner Detector (EBCD)” (2014, 5 citations), introduces a novel method for identifying stable interest points in 2D object recognition, particularly for robot navigation. By defining corners as intersections of non-collinear straight edges, this detector enhances reliability in dynamic environments. Alayli also made significant contributions to disability support through his “Reconfigurable Evaluation and Assistance Platform for Handicapped People” (2006, 5 citations) and related multi-interface systems (2011, 4 and 3 citations). These platforms enable users to control PCs, robots, and electric wheelchairs via adaptable interfaces like mice and joysticks, while logging experimental data for personalized assessment. More recently, his 2021 work “Transhumanism — Robotics Interactions” (2 citations) explores the philosophical and technical intersections of biomimetic robotics and human enhancement. Though his citation counts are modest, Alayli’s work demonstrates a clear commitment to practical, user-centered systems that improve autonomy and interaction for both robots and people with motor disabilities.
Research Focus
Key Achievements
Top Papers
- 1A Robust Edge-Based Corner Detector (EBCD)5 citations · 2014
- 2
- 3
- 4
- 5Transhumanism — Robotics Interactions2 citations · 2021