Elias Panagiotopoulos
Papers
1
Total Citations
4
H-Index
1
About
Elias Panagiotopoulos is a researcher whose work bridges the gap between human biomechanics and intelligent control systems, with a particular focus on rehabilitation engineering. His most cited paper, "A study of human locomotion for the design of rehabilitation systems based on fuzzy logic" (2006), has garnered 4 citations, marking a foundational contribution to the integration of fuzzy logic in assistive technologies. This work explores how computational models of human gait can inform the development of adaptive rehabilitation devices, offering a more intuitive and responsive approach to patient care. Panagiotopoulos’s research lies at the intersection of biomechanics, fuzzy logic, and human–machine interaction, aiming to create systems that are both clinically effective and user-friendly. While his citation count reflects a niche but growing area of study, his early efforts have helped lay the groundwork for smarter, more personalized rehabilitation tools. His work is particularly relevant for students and researchers interested in how artificial intelligence can enhance physical therapy and mobility assistance.
Research Focus
Key Achievements
Top Papers
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