Edric John Cruz Nacpil

The University of Tokyo

Papers

1

Total Citations

7

H-Index

1

About

Edric John Cruz Nacpil is a researcher whose work lies at the intersection of human-machine interaction and biomedical engineering, with a particular focus on surface electromyography (sEMG) and its applications in assistive and simulation technologies. His most cited paper, "Implementation of a sEMG-Machine Interface for Steering a Virtual Car in a Driving Simulator" (2017), demonstrates a novel approach to using muscle signals for intuitive control in virtual environments, contributing to the development of more accessible interfaces for individuals with motor impairments. This work, which has garnered 7 citations, showcases his ability to bridge theoretical concepts with practical, user-centered applications. Nacpil’s research is notable for its potential to enhance rehabilitation and driving simulation systems, offering insights into how biological signals can be harnessed for real-time control. His contributions are particularly relevant for students and researchers exploring non-invasive brain-computer interfaces and adaptive technologies, highlighting a commitment to improving human performance and quality of life through innovative engineering solutions.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Implementation of a sEMG-Machine Interface for Steering a Virtual Car in a Driving Simulator
7 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: The University of Tokyo

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago