Kleanthis Kleanthous
Papers
2
Total Citations
24
H-Index
2
About
Kleanthis Kleanthous is a researcher whose work sits at the intersection of wearable technology, human motion analysis, and computational neuroscience. His primary research areas include the development and systematic evaluation of wearable systems for tracking upper limb motion, as well as computational modeling of visual selective attention. His most notable contribution is a comprehensive systematic review, "Tracking Upper Limb Motion via Wearable Solutions: Systematic Review of Research From 2011 to 2023" (2024, 14 citations), which provides a critical synthesis of a decade of research on wearable sensors, signal processing techniques, and feedback mechanisms for upper limb tracking. This work serves as a foundational resource for researchers and engineers developing rehabilitation technologies and human-computer interaction systems. Earlier, Kleanthous contributed to the field of cognitive neuroscience with "Computational Modeling of Visual Selective Attention" (2011, 10 citations), offering an overview of a neurocomputational model that simulates a fundamental brain mechanism. His work bridges the gap between theoretical cognitive models and practical wearable applications, demonstrating a unique ability to connect neural mechanisms with real-world sensing technologies.
Research Focus
Key Achievements
Top Papers
- 1
- 2Computational Modeling of Visual Selective Attention10 citations · 2011