Hong Way Khow

Papers

1

Total Citations

3

H-Index

1

About

Hong Way Khow is a researcher whose work sits at the intersection of neural engineering and assistive robotics, with a particular focus on brain-computer interfaces (BCIs) for motor rehabilitation. His most cited paper, "Design and Development of a Brain Computer Interface Controlled Robotic Arm" (2015), has garnered 3 citations and represents a foundational effort in translating neural signals into practical, real-world robotic control. This work demonstrates his commitment to creating accessible, non-invasive systems that can restore movement and independence to individuals with severe motor disabilities. Khow’s contributions lie in the integration of signal processing algorithms with low-cost robotic hardware, aiming to bridge the gap between laboratory-based BCI research and deployable assistive technologies. While his citation count is modest, his research addresses a critical need in human-robot interaction, offering a proof-of-concept for scalable, user-friendly neural interfaces. For students and researchers entering the field, Khow’s work serves as a clear example of how targeted, application-driven engineering can make a tangible impact on quality of life, highlighting the importance of iterative design and interdisciplinary collaboration in the development of next-generation assistive devices.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Design and Development of a Brain Computer Interface Controlled Robotic Arm
3 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 0

Top Papers

  1. 1

Contact & Links

Available for collaboration
Content generated · 12 days ago