HONG-WAY KHOW
Papers
1
Total Citations
12
H-Index
1
About
Hong-Way Khow is a researcher at the forefront of brain-computer interface (BCI) technology, with a focus on translating neural signals into practical, assistive devices. His key research areas encompass neural signal processing, robotic prosthetics, and human-machine interaction. Khow’s most notable contribution is the development of a BCI system that enables users to control a robotic arm through EEG signals generated by facial expressions, as detailed in his 2018 paper. This work bridges the gap between non-invasive neural recording and real-world robotic control, offering a low-cost, 3D-printed prosthetic hand that can be intuitively operated. With 12 citations, this foundational study has sparked interest in accessible assistive technologies. Khow’s achievements demonstrate a commitment to creating user-friendly interfaces that empower individuals with motor impairments, making him a rising voice in the field of neuroprosthetics and human augmentation.
Research Focus
Key Achievements
Top Papers
- 1Brain-computer interface: controlling a robotic arm using facial expressions12 citations · 2018