Ruwan Ranaweera
Papers
1
Total Citations
9
H-Index
1
About
Ruwan Ranaweera is a researcher whose work lies at the intersection of neural engineering and assistive robotics, with a primary focus on non-invasive Brain-Computer Interfacing (BCI). His most influential contribution, the 2021 paper "Single-Channel EEG SSVEP-based BCI for Robot Arm Control," has garnered 9 citations and addresses a critical challenge in the field: developing practical, low-cost BCI systems for disabled individuals. By demonstrating that a single-channel Electroencephalography (EEG) setup using Steady-State Visual Evoked Potentials (SSVEP) can effectively control a robot arm, Ranaweera significantly reduces system complexity and cost while maintaining reliable performance. This work is particularly notable for requiring minimal user training, making it more accessible for real-world clinical applications. His research directly targets improving quality of life for those with severe motor impairments, bridging the gap between laboratory-grade BCI technology and practical assistive devices. Ranaweera’s contributions are especially valuable in advancing affordable, user-friendly neural interfaces that can be deployed in home and rehabilitation settings.
Research Focus
Key Achievements
Top Papers
- 1Single-Channel EEG SSVEP-based BCI for Robot Arm Control9 citations · 2021