Thomas Setiono

Papers

Total Citations

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About

Thomas Setiono is a researcher whose work bridges the frontiers of neural engineering and embedded systems, with a primary focus on brain-computer interfaces (BCIs) and real-time robotic control. His most-cited paper, "Brain Computer Interface for Controlling RC-Car Using Emotiv Epoc+" (2018), demonstrates a pioneering integration of consumer-grade EEG hardware with low-cost microcontrollers. By combining the Emotiv Epoc+ headset, a computer, Wi-Fi router, and ESP8266 Wemos D1, Setiono developed a system that translates neural signals into precise navigational commands for a mobile robot. This work showcases his ability to make BCI technology more accessible and practical, reducing the barrier to entry for real-world applications. Though his citation count is modest, the project’s impact lies in its proof-of-concept for affordable, wireless neural control—a stepping stone for assistive technologies and human-robot interaction. Setiono’s contributions highlight the potential of merging cognitive neuroscience with IoT hardware, inspiring further research into low-latency, portable BCI systems for rehabilitation and remote operation.