Benrico F Simamora
Papers
1
Total Citations
3
H-Index
1
About
Benrico F Simamora is a researcher focused on biomedical signal processing, particularly electromyography (EMG) for hand gesture recognition. His work centers on comparing time-domain and frequency-domain approaches to optimize signal classification, leveraging Artificial Neural Networks (ANN) to enhance accuracy. His most cited paper, "Perbandingan Antara Domain Waktu dan Frekuensi untuk Pengenalan Sinyal EMG" (2021), has garnered 3 citations, establishing a foundation for understanding how domain selection impacts EMG-based recognition systems. Simamora’s contributions are notable for bridging signal processing techniques with machine learning, offering insights into efficient gesture control for prosthetics and human-computer interfaces. Though early in his career, his research addresses a critical challenge in biomedical engineering: improving the reliability of EMG signals for real-world applications. His work underscores the importance of domain analysis in developing responsive, user-friendly assistive technologies.
Research Focus
Key Achievements
Top Papers
- 1