Raymond Sutjiadi

Institut Informatika Indonesia

Papers

1

Total Citations

6

H-Index

1

About

Raymond Sutjiadi is a researcher at the intersection of brain-computer interfaces (BCI) and embedded systems, with a focus on translating neural signals into real-world control applications. His most cited work, "Brain Computer Interface for Controlling RC-Car Using Emotiv Epoc+" (2018), demonstrates a practical BCI system that enables users to navigate a remote-controlled car using EEG signals captured by an Emotiv Epoc+ headset. The system integrates a computer, Wi-Fi router, and ESP8266 Wemos D1 microcontroller to process and transmit commands wirelessly, showcasing a low-cost, accessible approach to BCI-driven robotics. This work, with 6 citations, highlights Sutjiadi’s contribution to making neural control technology more tangible for educational and assistive applications. By combining hardware and software design, he provides a framework for future innovations in mobile robot navigation and human-computer interaction. His research underscores the potential of BCI to empower individuals with motor impairments, bridging the gap between cognitive intent and physical action. Sutjiadi’s work continues to inspire students and researchers exploring the frontiers of neurotechnology and embedded systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Brain Computer Interface for Controlling RC-Car Using Emotiv Epoc+
6 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Institut Informatika Indonesia

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago