Jeremy Scerri
Papers
1
Total Citations
9
H-Index
1
About
Dr. Jeremy Scerri is a researcher whose work sits at the intersection of biomedical engineering and human-machine interaction, with a primary focus on electromyography (EMG) signal processing and its applications in assistive technology. His most cited work, "Development of a New Low-Cost EMG Monitoring System for the Classification of Finger Movement" (2018, 9 citations), demonstrates his commitment to making advanced prosthetic control more accessible. In this study, Scerri developed an affordable EMG monitoring system capable of accurately classifying individual finger movements, a critical step toward intuitive control of prosthetic limbs and bio-robotic interfaces. His research addresses a key challenge in kinesiology: translating muscle activity into precise, real-time commands for artificial limbs. By prioritizing cost-effectiveness without sacrificing classification accuracy, Scerri’s work has the potential to broaden access to sophisticated prosthetic technology, particularly in resource-limited settings. His contributions are especially relevant for students and researchers interested in low-cost biomedical instrumentation, pattern recognition for gesture control, and the practical implementation of EMG-based systems in rehabilitation engineering.
Research Focus
Key Achievements
Top Papers
- 1