Hizzul Hamli
Papers
1
Total Citations
33
H-Index
1
About
Hizzul Hamli is a biomedical engineer whose research lies at the intersection of neural signal processing, assistive robotics, and human-machine interfaces. His most cited work, "User-Friendly LabVIEW GUI for Prosthetic Hand Control Using Emotiv EEG Headset" (2017, 33 citations), demonstrates his pioneering approach to non-invasive brain-computer interfaces for prosthetic control. Hamli developed a practical, intuitive graphical interface that translates electroencephalography (EEG) signals from an Emotiv headset into real-time commands for a robotic prosthetic hand, moving beyond passive cosmetic devices toward functional, brain-controlled alternatives. His contributions address a critical gap in assistive technology: making sophisticated neural control accessible and user-friendly for amputees. By integrating commercial EEG hardware with LabVIEW software, Hamli’s work lowers barriers to entry for brain-controlled prosthetics, offering a scalable platform for rehabilitation. His research has been cited by teams advancing neural prosthetics, signal processing algorithms, and human-robot interaction. Hamli’s focus on usability and real-world application positions him as a key figure in the development of affordable, intuitive assistive devices that restore independence to individuals with limb loss.
Research Focus
Key Achievements
Top Papers
- 1